Results: ROC-PrimaryHouseDatav2.sas

The LOGISTIC Procedure

Model Information

Model Information
Data Set MYLIB.PRIMARYHOUSEDATAV2
Response Variable House Rating
Number of Response Levels 2
Model binary logit
Optimization Technique Fisher's scoring

Observations Summary

Number of Observations Read 203
Number of Observations Used 203

Response Profile

Response Profile
Ordered
Value
House Rating Total
Frequency
1 High 41
2 Low 162

Probability modeled is House Rating='High'.

Convergence Status

Model Convergence Status
Convergence criterion (GCONV=1E-8) satisfied.

Fit Statistics

Model Fit Statistics
Criterion Intercept Only Intercept and Covariates
AIC 206.268 109.659
SC 209.581 162.670
-2 Log L 204.268 77.659

Global Tests

Testing Global Null Hypothesis: BETA=0
Test Chi-Square DF Pr > ChiSq
Likelihood Ratio 126.6089 15 <.0001
Score 98.4069 15 <.0001
Wald 37.5152 15 0.0011

Parameter Estimates

Analysis of Maximum Likelihood Estimates
Parameter DF Estimate Standard
Error
Wald
Chi-Square
Pr > ChiSq
Intercept 1 -5.2821 13.3315 0.1570 0.6919
PopulationDensityper 1 0.00142 0.00158 0.8148 0.3667
TotalPopulation2015e 1 0.000065 0.000036 3.2232 0.0726
TotalViolentCrimesRa 1 0.0204 0.00893 5.2016 0.0226
TotalPropertyCrimesR 1 0.00275 0.00242 1.2958 0.2550
TotalViolentandPrope 1 -0.00109 0.000561 3.7588 0.0525
TotalPopulationWhite 1 -0.00007 0.000035 4.4572 0.0348
TotalPopulationBlack 1 -0.00011 0.000050 4.8352 0.0279
TotalPopulationAmeri 1 0.000019 0.000425 0.0020 0.9643
TotalPopulationNativ 1 0.000911 0.000676 1.8136 0.1781
TotalPopulationAsian 1 -0.00004 0.000047 0.6769 0.4107
MedianAge 1 0.1084 0.1667 0.4230 0.5155
TotalwithHealthInsur 1 3.176E-6 0.000032 0.0099 0.9207
AverageHouseholdSize 1 -6.4625 4.3489 2.2082 0.1373
Averagehouseholdinco 1 0.000184 0.000069 7.0781 0.0078
SizeRank 1 -0.00604 0.00120 25.5033 <.0001

Odds Ratios

Odds Ratio Estimates
Effect Point Estimate 95% Wald
Confidence Limits
PopulationDensityper 1.001 0.998 1.005
TotalPopulation2015e 1.000 1.000 1.000
TotalViolentCrimesRa 1.021 1.003 1.039
TotalPropertyCrimesR 1.003 0.998 1.008
TotalViolentandPrope 0.999 0.998 1.000
TotalPopulationWhite 1.000 1.000 1.000
TotalPopulationBlack 1.000 1.000 1.000
TotalPopulationAmeri 1.000 0.999 1.001
TotalPopulationNativ 1.001 1.000 1.002
TotalPopulationAsian 1.000 1.000 1.000
MedianAge 1.115 0.804 1.545
TotalwithHealthInsur 1.000 1.000 1.000
AverageHouseholdSize 0.002 <0.001 7.855
Averagehouseholdinco 1.000 1.000 1.000
SizeRank 0.994 0.992 0.996

Association Statistics

Association of Predicted Probabilities and Observed Responses
Percent Concordant 94.9 Somers' D 0.897
Percent Discordant 5.1 Gamma 0.897
Percent Tied 0.0 Tau-a 0.291
Pairs 6642 c 0.949

ROC Curve

 Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 1 
 Frequency = 1 
 Positive Predictive Value = 0.202 
 Negative Predictive Value = . 
 Probability Level = 48E-19  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9938 
 Frequency = 1 
 Positive Predictive Value = 0.203 
 Negative Predictive Value = 1 
 Probability Level = 3.2E-8  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9938 
 Frequency = 1 
 Positive Predictive Value = 0.203 
 Negative Predictive Value = 1 
 Probability Level = 3.2E-8  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9877 
 Frequency = 1 
 Positive Predictive Value = 0.204 
 Negative Predictive Value = 1 
 Probability Level = 1.7E-7  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9877 
 Frequency = 1 
 Positive Predictive Value = 0.204 
 Negative Predictive Value = 1 
 Probability Level = 1.7E-7  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9815 
 Frequency = 1 
 Positive Predictive Value = 0.205 
 Negative Predictive Value = 1 
 Probability Level = 2.2E-6  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9815 
 Frequency = 1 
 Positive Predictive Value = 0.205 
 Negative Predictive Value = 1 
 Probability Level = 2.2E-6  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9753 
 Frequency = 1 
 Positive Predictive Value = 0.206 
 Negative Predictive Value = 1 
 Probability Level = 2.6E-6  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9753 
 Frequency = 1 
 Positive Predictive Value = 0.206 
 Negative Predictive Value = 1 
 Probability Level = 2.6E-6  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9691 
 Frequency = 1 
 Positive Predictive Value = 0.2071 
 Negative Predictive Value = 1 
 Probability Level = .00002  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9691 
 Frequency = 1 
 Positive Predictive Value = 0.2071 
 Negative Predictive Value = 1 
 Probability Level = .00002  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.963 
 Frequency = 1 
 Positive Predictive Value = 0.2081 
 Negative Predictive Value = 1 
 Probability Level = .00003  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.963 
 Frequency = 1 
 Positive Predictive Value = 0.2081 
 Negative Predictive Value = 1 
 Probability Level = .00003  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9568 
 Frequency = 1 
 Positive Predictive Value = 0.2092 
 Negative Predictive Value = 1 
 Probability Level = 7.5E-5  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9568 
 Frequency = 1 
 Positive Predictive Value = 0.2092 
 Negative Predictive Value = 1 
 Probability Level = 7.5E-5  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9506 
 Frequency = 1 
 Positive Predictive Value = 0.2103 
 Negative Predictive Value = 1 
 Probability Level = 8.8E-5  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9506 
 Frequency = 1 
 Positive Predictive Value = 0.2103 
 Negative Predictive Value = 1 
 Probability Level = 8.8E-5  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9444 
 Frequency = 1 
 Positive Predictive Value = 0.2113 
 Negative Predictive Value = 1 
 Probability Level = .00011  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9444 
 Frequency = 1 
 Positive Predictive Value = 0.2113 
 Negative Predictive Value = 1 
 Probability Level = .00011  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9383 
 Frequency = 1 
 Positive Predictive Value = 0.2124 
 Negative Predictive Value = 1 
 Probability Level = .00014  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9383 
 Frequency = 1 
 Positive Predictive Value = 0.2124 
 Negative Predictive Value = 1 
 Probability Level = .00014  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9321 
 Frequency = 1 
 Positive Predictive Value = 0.2135 
 Negative Predictive Value = 1 
 Probability Level = .00016  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9321 
 Frequency = 1 
 Positive Predictive Value = 0.2135 
 Negative Predictive Value = 1 
 Probability Level = .00016  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9259 
 Frequency = 1 
 Positive Predictive Value = 0.2147 
 Negative Predictive Value = 1 
 Probability Level = .00016  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9259 
 Frequency = 1 
 Positive Predictive Value = 0.2147 
 Negative Predictive Value = 1 
 Probability Level = .00016  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9198 
 Frequency = 1 
 Positive Predictive Value = 0.2158 
 Negative Predictive Value = 1 
 Probability Level = .00017  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9198 
 Frequency = 1 
 Positive Predictive Value = 0.2158 
 Negative Predictive Value = 1 
 Probability Level = .00017  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9136 
 Frequency = 1 
 Positive Predictive Value = 0.2169 
 Negative Predictive Value = 1 
 Probability Level = .00031  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9136 
 Frequency = 1 
 Positive Predictive Value = 0.2169 
 Negative Predictive Value = 1 
 Probability Level = .00031  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9074 
 Frequency = 1 
 Positive Predictive Value = 0.2181 
 Negative Predictive Value = 1 
 Probability Level = .00034  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9074 
 Frequency = 1 
 Positive Predictive Value = 0.2181 
 Negative Predictive Value = 1 
 Probability Level = .00034  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9012 
 Frequency = 1 
 Positive Predictive Value = 0.2193 
 Negative Predictive Value = 1 
 Probability Level = .00039  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.9012 
 Frequency = 1 
 Positive Predictive Value = 0.2193 
 Negative Predictive Value = 1 
 Probability Level = .00039  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8951 
 Frequency = 1 
 Positive Predictive Value = 0.2204 
 Negative Predictive Value = 1 
 Probability Level = .00046  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8951 
 Frequency = 1 
 Positive Predictive Value = 0.2204 
 Negative Predictive Value = 1 
 Probability Level = .00046  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8889 
 Frequency = 1 
 Positive Predictive Value = 0.2216 
 Negative Predictive Value = 1 
 Probability Level = .00047  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8889 
 Frequency = 1 
 Positive Predictive Value = 0.2216 
 Negative Predictive Value = 1 
 Probability Level = .00047  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8827 
 Frequency = 1 
 Positive Predictive Value = 0.2228 
 Negative Predictive Value = 1 
 Probability Level = .00048  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8827 
 Frequency = 1 
 Positive Predictive Value = 0.2228 
 Negative Predictive Value = 1 
 Probability Level = .00048  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8765 
 Frequency = 1 
 Positive Predictive Value = 0.224 
 Negative Predictive Value = 1 
 Probability Level = .00068  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8765 
 Frequency = 1 
 Positive Predictive Value = 0.224 
 Negative Predictive Value = 1 
 Probability Level = .00068  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8704 
 Frequency = 1 
 Positive Predictive Value = 0.2253 
 Negative Predictive Value = 1 
 Probability Level = .00076  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8704 
 Frequency = 1 
 Positive Predictive Value = 0.2253 
 Negative Predictive Value = 1 
 Probability Level = .00076  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8642 
 Frequency = 1 
 Positive Predictive Value = 0.2265 
 Negative Predictive Value = 1 
 Probability Level = .00087  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8642 
 Frequency = 1 
 Positive Predictive Value = 0.2265 
 Negative Predictive Value = 1 
 Probability Level = .00087  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.858 
 Frequency = 1 
 Positive Predictive Value = 0.2278 
 Negative Predictive Value = 1 
 Probability Level = .00092  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.858 
 Frequency = 1 
 Positive Predictive Value = 0.2278 
 Negative Predictive Value = 1 
 Probability Level = .00092  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8519 
 Frequency = 1 
 Positive Predictive Value = 0.2291 
 Negative Predictive Value = 1 
 Probability Level = .00095  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8519 
 Frequency = 1 
 Positive Predictive Value = 0.2291 
 Negative Predictive Value = 1 
 Probability Level = .00095  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8457 
 Frequency = 1 
 Positive Predictive Value = 0.2303 
 Negative Predictive Value = 1 
 Probability Level = 0.0016  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8457 
 Frequency = 1 
 Positive Predictive Value = 0.2303 
 Negative Predictive Value = 1 
 Probability Level = 0.0016  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8395 
 Frequency = 1 
 Positive Predictive Value = 0.2316 
 Negative Predictive Value = 1 
 Probability Level = 0.0017  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8395 
 Frequency = 1 
 Positive Predictive Value = 0.2316 
 Negative Predictive Value = 1 
 Probability Level = 0.0017  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8333 
 Frequency = 1 
 Positive Predictive Value = 0.233 
 Negative Predictive Value = 1 
 Probability Level = 0.0018  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8333 
 Frequency = 1 
 Positive Predictive Value = 0.233 
 Negative Predictive Value = 1 
 Probability Level = 0.0018  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8272 
 Frequency = 1 
 Positive Predictive Value = 0.2343 
 Negative Predictive Value = 1 
 Probability Level = 0.0021  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8272 
 Frequency = 1 
 Positive Predictive Value = 0.2343 
 Negative Predictive Value = 1 
 Probability Level = 0.0021  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.821 
 Frequency = 1 
 Positive Predictive Value = 0.2356 
 Negative Predictive Value = 1 
 Probability Level = 0.0025  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.821 
 Frequency = 1 
 Positive Predictive Value = 0.2356 
 Negative Predictive Value = 1 
 Probability Level = 0.0025  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8148 
 Frequency = 1 
 Positive Predictive Value = 0.237 
 Negative Predictive Value = 1 
 Probability Level = 0.0026  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8148 
 Frequency = 1 
 Positive Predictive Value = 0.237 
 Negative Predictive Value = 1 
 Probability Level = 0.0026  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8086 
 Frequency = 1 
 Positive Predictive Value = 0.2384 
 Negative Predictive Value = 1 
 Probability Level = 0.0028  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8086 
 Frequency = 1 
 Positive Predictive Value = 0.2384 
 Negative Predictive Value = 1 
 Probability Level = 0.0028  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8025 
 Frequency = 1 
 Positive Predictive Value = 0.2398 
 Negative Predictive Value = 1 
 Probability Level = 0.0029  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.8025 
 Frequency = 1 
 Positive Predictive Value = 0.2398 
 Negative Predictive Value = 1 
 Probability Level = 0.0029  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7963 
 Frequency = 1 
 Positive Predictive Value = 0.2412 
 Negative Predictive Value = 1 
 Probability Level = 0.0029  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7963 
 Frequency = 1 
 Positive Predictive Value = 0.2412 
 Negative Predictive Value = 1 
 Probability Level = 0.0029  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7901 
 Frequency = 1 
 Positive Predictive Value = 0.2426 
 Negative Predictive Value = 1 
 Probability Level = 0.0031  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7901 
 Frequency = 1 
 Positive Predictive Value = 0.2426 
 Negative Predictive Value = 1 
 Probability Level = 0.0031  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.784 
 Frequency = 1 
 Positive Predictive Value = 0.244 
 Negative Predictive Value = 1 
 Probability Level = 0.0037  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.784 
 Frequency = 1 
 Positive Predictive Value = 0.244 
 Negative Predictive Value = 1 
 Probability Level = 0.0037  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7778 
 Frequency = 1 
 Positive Predictive Value = 0.2455 
 Negative Predictive Value = 1 
 Probability Level = 0.0045  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7778 
 Frequency = 1 
 Positive Predictive Value = 0.2455 
 Negative Predictive Value = 1 
 Probability Level = 0.0045  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7716 
 Frequency = 1 
 Positive Predictive Value = 0.247 
 Negative Predictive Value = 1 
 Probability Level = 0.0047  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7716 
 Frequency = 1 
 Positive Predictive Value = 0.247 
 Negative Predictive Value = 1 
 Probability Level = 0.0047  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7654 
 Frequency = 1 
 Positive Predictive Value = 0.2485 
 Negative Predictive Value = 1 
 Probability Level = 0.0048  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7654 
 Frequency = 1 
 Positive Predictive Value = 0.2485 
 Negative Predictive Value = 1 
 Probability Level = 0.0048  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7593 
 Frequency = 1 
 Positive Predictive Value = 0.25 
 Negative Predictive Value = 1 
 Probability Level = 0.0048  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7593 
 Frequency = 1 
 Positive Predictive Value = 0.25 
 Negative Predictive Value = 1 
 Probability Level = 0.0048  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7531 
 Frequency = 1 
 Positive Predictive Value = 0.2515 
 Negative Predictive Value = 1 
 Probability Level = 0.0048  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7531 
 Frequency = 1 
 Positive Predictive Value = 0.2515 
 Negative Predictive Value = 1 
 Probability Level = 0.0048  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7469 
 Frequency = 1 
 Positive Predictive Value = 0.2531 
 Negative Predictive Value = 1 
 Probability Level = 0.005  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7469 
 Frequency = 1 
 Positive Predictive Value = 0.2531 
 Negative Predictive Value = 1 
 Probability Level = 0.005  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7407 
 Frequency = 1 
 Positive Predictive Value = 0.2547 
 Negative Predictive Value = 1 
 Probability Level = 0.005  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7407 
 Frequency = 1 
 Positive Predictive Value = 0.2547 
 Negative Predictive Value = 1 
 Probability Level = 0.005  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7346 
 Frequency = 1 
 Positive Predictive Value = 0.2563 
 Negative Predictive Value = 1 
 Probability Level = 0.0051  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7346 
 Frequency = 1 
 Positive Predictive Value = 0.2563 
 Negative Predictive Value = 1 
 Probability Level = 0.0051  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7284 
 Frequency = 1 
 Positive Predictive Value = 0.2579 
 Negative Predictive Value = 1 
 Probability Level = 0.0053  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7284 
 Frequency = 1 
 Positive Predictive Value = 0.2579 
 Negative Predictive Value = 1 
 Probability Level = 0.0053  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7222 
 Frequency = 1 
 Positive Predictive Value = 0.2595 
 Negative Predictive Value = 1 
 Probability Level = 0.0054  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7222 
 Frequency = 1 
 Positive Predictive Value = 0.2595 
 Negative Predictive Value = 1 
 Probability Level = 0.0054  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.716 
 Frequency = 1 
 Positive Predictive Value = 0.2611 
 Negative Predictive Value = 1 
 Probability Level = 0.0057  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.716 
 Frequency = 1 
 Positive Predictive Value = 0.2611 
 Negative Predictive Value = 1 
 Probability Level = 0.0057  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7099 
 Frequency = 1 
 Positive Predictive Value = 0.2628 
 Negative Predictive Value = 1 
 Probability Level = 0.0057  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7099 
 Frequency = 1 
 Positive Predictive Value = 0.2628 
 Negative Predictive Value = 1 
 Probability Level = 0.0057  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7037 
 Frequency = 1 
 Positive Predictive Value = 0.2645 
 Negative Predictive Value = 1 
 Probability Level = 0.0058  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.7037 
 Frequency = 1 
 Positive Predictive Value = 0.2645 
 Negative Predictive Value = 1 
 Probability Level = 0.0058  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.6975 
 Frequency = 1 
 Positive Predictive Value = 0.2662 
 Negative Predictive Value = 1 
 Probability Level = 0.0059  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.6975 
 Frequency = 1 
 Positive Predictive Value = 0.2662 
 Negative Predictive Value = 1 
 Probability Level = 0.0059  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.6914 
 Frequency = 1 
 Positive Predictive Value = 0.268 
 Negative Predictive Value = 1 
 Probability Level = 0.0059  Model = Model  (0.9487) 
 Sensitivity = 1 
 1 - Specificity = 0.6914 
 Frequency = 1 
 Positive Predictive Value = 0.268 
 Negative Predictive Value = 1 
 Probability Level = 0.0059  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6914 
 Frequency = 1 
 Positive Predictive Value = 0.2632 
 Negative Predictive Value = 0.9804 
 Probability Level = 0.0061  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6914 
 Frequency = 1 
 Positive Predictive Value = 0.2632 
 Negative Predictive Value = 0.9804 
 Probability Level = 0.0061  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6852 
 Frequency = 1 
 Positive Predictive Value = 0.2649 
 Negative Predictive Value = 0.9808 
 Probability Level = 0.0062  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6852 
 Frequency = 1 
 Positive Predictive Value = 0.2649 
 Negative Predictive Value = 0.9808 
 Probability Level = 0.0062  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.679 
 Frequency = 1 
 Positive Predictive Value = 0.2667 
 Negative Predictive Value = 0.9811 
 Probability Level = 0.0066  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.679 
 Frequency = 1 
 Positive Predictive Value = 0.2667 
 Negative Predictive Value = 0.9811 
 Probability Level = 0.0066  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6728 
 Frequency = 1 
 Positive Predictive Value = 0.2685 
 Negative Predictive Value = 0.9815 
 Probability Level = 0.0068  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6728 
 Frequency = 1 
 Positive Predictive Value = 0.2685 
 Negative Predictive Value = 0.9815 
 Probability Level = 0.0068  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6667 
 Frequency = 1 
 Positive Predictive Value = 0.2703 
 Negative Predictive Value = 0.9818 
 Probability Level = 0.0069  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6667 
 Frequency = 1 
 Positive Predictive Value = 0.2703 
 Negative Predictive Value = 0.9818 
 Probability Level = 0.0069  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6605 
 Frequency = 1 
 Positive Predictive Value = 0.2721 
 Negative Predictive Value = 0.9821 
 Probability Level = 0.007  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6605 
 Frequency = 1 
 Positive Predictive Value = 0.2721 
 Negative Predictive Value = 0.9821 
 Probability Level = 0.007  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6543 
 Frequency = 1 
 Positive Predictive Value = 0.274 
 Negative Predictive Value = 0.9825 
 Probability Level = 0.0071  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6543 
 Frequency = 1 
 Positive Predictive Value = 0.274 
 Negative Predictive Value = 0.9825 
 Probability Level = 0.0071  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6481 
 Frequency = 1 
 Positive Predictive Value = 0.2759 
 Negative Predictive Value = 0.9828 
 Probability Level = 0.0076  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6481 
 Frequency = 1 
 Positive Predictive Value = 0.2759 
 Negative Predictive Value = 0.9828 
 Probability Level = 0.0076  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.642 
 Frequency = 1 
 Positive Predictive Value = 0.2778 
 Negative Predictive Value = 0.9831 
 Probability Level = 0.0084  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.642 
 Frequency = 1 
 Positive Predictive Value = 0.2778 
 Negative Predictive Value = 0.9831 
 Probability Level = 0.0084  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6358 
 Frequency = 1 
 Positive Predictive Value = 0.2797 
 Negative Predictive Value = 0.9833 
 Probability Level = 0.0085  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6358 
 Frequency = 1 
 Positive Predictive Value = 0.2797 
 Negative Predictive Value = 0.9833 
 Probability Level = 0.0085  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6296 
 Frequency = 1 
 Positive Predictive Value = 0.2817 
 Negative Predictive Value = 0.9836 
 Probability Level = 0.009  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6296 
 Frequency = 1 
 Positive Predictive Value = 0.2817 
 Negative Predictive Value = 0.9836 
 Probability Level = 0.009  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6235 
 Frequency = 1 
 Positive Predictive Value = 0.2837 
 Negative Predictive Value = 0.9839 
 Probability Level = 0.0094  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6235 
 Frequency = 1 
 Positive Predictive Value = 0.2837 
 Negative Predictive Value = 0.9839 
 Probability Level = 0.0094  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6173 
 Frequency = 1 
 Positive Predictive Value = 0.2857 
 Negative Predictive Value = 0.9841 
 Probability Level = 0.0096  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6173 
 Frequency = 1 
 Positive Predictive Value = 0.2857 
 Negative Predictive Value = 0.9841 
 Probability Level = 0.0096  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6111 
 Frequency = 1 
 Positive Predictive Value = 0.2878 
 Negative Predictive Value = 0.9844 
 Probability Level = 0.0098  Model = Model  (0.9487) 
 Sensitivity = 0.9756 
 1 - Specificity = 0.6111 
 Frequency = 1 
 Positive Predictive Value = 0.2878 
 Negative Predictive Value = 0.9844 
 Probability Level = 0.0098  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.6111 
 Frequency = 1 
 Positive Predictive Value = 0.2826 
 Negative Predictive Value = 0.9692 
 Probability Level = 0.0099  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.6111 
 Frequency = 1 
 Positive Predictive Value = 0.2826 
 Negative Predictive Value = 0.9692 
 Probability Level = 0.0099  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.6049 
 Frequency = 1 
 Positive Predictive Value = 0.2847 
 Negative Predictive Value = 0.9697 
 Probability Level = 0.0102  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.6049 
 Frequency = 1 
 Positive Predictive Value = 0.2847 
 Negative Predictive Value = 0.9697 
 Probability Level = 0.0102  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5988 
 Frequency = 1 
 Positive Predictive Value = 0.2868 
 Negative Predictive Value = 0.9701 
 Probability Level = 0.0102  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5988 
 Frequency = 1 
 Positive Predictive Value = 0.2868 
 Negative Predictive Value = 0.9701 
 Probability Level = 0.0102  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5926 
 Frequency = 1 
 Positive Predictive Value = 0.2889 
 Negative Predictive Value = 0.9706 
 Probability Level = 0.0103  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5926 
 Frequency = 1 
 Positive Predictive Value = 0.2889 
 Negative Predictive Value = 0.9706 
 Probability Level = 0.0103  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5864 
 Frequency = 1 
 Positive Predictive Value = 0.291 
 Negative Predictive Value = 0.971 
 Probability Level = 0.0104  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5864 
 Frequency = 1 
 Positive Predictive Value = 0.291 
 Negative Predictive Value = 0.971 
 Probability Level = 0.0104  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5802 
 Frequency = 1 
 Positive Predictive Value = 0.2932 
 Negative Predictive Value = 0.9714 
 Probability Level = 0.0106  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5802 
 Frequency = 1 
 Positive Predictive Value = 0.2932 
 Negative Predictive Value = 0.9714 
 Probability Level = 0.0106  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5741 
 Frequency = 1 
 Positive Predictive Value = 0.2955 
 Negative Predictive Value = 0.9718 
 Probability Level = 0.0107  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5741 
 Frequency = 1 
 Positive Predictive Value = 0.2955 
 Negative Predictive Value = 0.9718 
 Probability Level = 0.0107  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5679 
 Frequency = 1 
 Positive Predictive Value = 0.2977 
 Negative Predictive Value = 0.9722 
 Probability Level = 0.0108  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5679 
 Frequency = 1 
 Positive Predictive Value = 0.2977 
 Negative Predictive Value = 0.9722 
 Probability Level = 0.0108  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5617 
 Frequency = 1 
 Positive Predictive Value = 0.3 
 Negative Predictive Value = 0.9726 
 Probability Level = 0.012  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5617 
 Frequency = 1 
 Positive Predictive Value = 0.3 
 Negative Predictive Value = 0.9726 
 Probability Level = 0.012  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5556 
 Frequency = 1 
 Positive Predictive Value = 0.3023 
 Negative Predictive Value = 0.973 
 Probability Level = 0.0121  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5556 
 Frequency = 1 
 Positive Predictive Value = 0.3023 
 Negative Predictive Value = 0.973 
 Probability Level = 0.0121  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5494 
 Frequency = 1 
 Positive Predictive Value = 0.3047 
 Negative Predictive Value = 0.9733 
 Probability Level = 0.0122  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5494 
 Frequency = 1 
 Positive Predictive Value = 0.3047 
 Negative Predictive Value = 0.9733 
 Probability Level = 0.0122  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5432 
 Frequency = 1 
 Positive Predictive Value = 0.3071 
 Negative Predictive Value = 0.9737 
 Probability Level = 0.0127  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5432 
 Frequency = 1 
 Positive Predictive Value = 0.3071 
 Negative Predictive Value = 0.9737 
 Probability Level = 0.0127  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.537 
 Frequency = 1 
 Positive Predictive Value = 0.3095 
 Negative Predictive Value = 0.974 
 Probability Level = 0.0128  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.537 
 Frequency = 1 
 Positive Predictive Value = 0.3095 
 Negative Predictive Value = 0.974 
 Probability Level = 0.0128  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5309 
 Frequency = 1 
 Positive Predictive Value = 0.312 
 Negative Predictive Value = 0.9744 
 Probability Level = 0.0138  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5309 
 Frequency = 1 
 Positive Predictive Value = 0.312 
 Negative Predictive Value = 0.9744 
 Probability Level = 0.0138  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5247 
 Frequency = 1 
 Positive Predictive Value = 0.3145 
 Negative Predictive Value = 0.9747 
 Probability Level = 0.0147  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5247 
 Frequency = 1 
 Positive Predictive Value = 0.3145 
 Negative Predictive Value = 0.9747 
 Probability Level = 0.0147  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5185 
 Frequency = 1 
 Positive Predictive Value = 0.3171 
 Negative Predictive Value = 0.975 
 Probability Level = 0.0147  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5185 
 Frequency = 1 
 Positive Predictive Value = 0.3171 
 Negative Predictive Value = 0.975 
 Probability Level = 0.0147  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5123 
 Frequency = 1 
 Positive Predictive Value = 0.3197 
 Negative Predictive Value = 0.9753 
 Probability Level = 0.015  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5123 
 Frequency = 1 
 Positive Predictive Value = 0.3197 
 Negative Predictive Value = 0.9753 
 Probability Level = 0.015  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5062 
 Frequency = 1 
 Positive Predictive Value = 0.3223 
 Negative Predictive Value = 0.9756 
 Probability Level = 0.0154  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5062 
 Frequency = 1 
 Positive Predictive Value = 0.3223 
 Negative Predictive Value = 0.9756 
 Probability Level = 0.0154  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5 
 Frequency = 1 
 Positive Predictive Value = 0.325 
 Negative Predictive Value = 0.9759 
 Probability Level = 0.0157  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.5 
 Frequency = 1 
 Positive Predictive Value = 0.325 
 Negative Predictive Value = 0.9759 
 Probability Level = 0.0157  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4938 
 Frequency = 1 
 Positive Predictive Value = 0.3277 
 Negative Predictive Value = 0.9762 
 Probability Level = 0.017  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4938 
 Frequency = 1 
 Positive Predictive Value = 0.3277 
 Negative Predictive Value = 0.9762 
 Probability Level = 0.017  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4877 
 Frequency = 1 
 Positive Predictive Value = 0.3305 
 Negative Predictive Value = 0.9765 
 Probability Level = 0.0171  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4877 
 Frequency = 1 
 Positive Predictive Value = 0.3305 
 Negative Predictive Value = 0.9765 
 Probability Level = 0.0171  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4815 
 Frequency = 1 
 Positive Predictive Value = 0.3333 
 Negative Predictive Value = 0.9767 
 Probability Level = 0.0182  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4815 
 Frequency = 1 
 Positive Predictive Value = 0.3333 
 Negative Predictive Value = 0.9767 
 Probability Level = 0.0182  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4753 
 Frequency = 1 
 Positive Predictive Value = 0.3362 
 Negative Predictive Value = 0.977 
 Probability Level = 0.0195  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4753 
 Frequency = 1 
 Positive Predictive Value = 0.3362 
 Negative Predictive Value = 0.977 
 Probability Level = 0.0195  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4691 
 Frequency = 1 
 Positive Predictive Value = 0.3391 
 Negative Predictive Value = 0.9773 
 Probability Level = 0.0211  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4691 
 Frequency = 1 
 Positive Predictive Value = 0.3391 
 Negative Predictive Value = 0.9773 
 Probability Level = 0.0211  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.463 
 Frequency = 1 
 Positive Predictive Value = 0.3421 
 Negative Predictive Value = 0.9775 
 Probability Level = 0.0217  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.463 
 Frequency = 1 
 Positive Predictive Value = 0.3421 
 Negative Predictive Value = 0.9775 
 Probability Level = 0.0217  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4568 
 Frequency = 1 
 Positive Predictive Value = 0.3451 
 Negative Predictive Value = 0.9778 
 Probability Level = 0.0237  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4568 
 Frequency = 1 
 Positive Predictive Value = 0.3451 
 Negative Predictive Value = 0.9778 
 Probability Level = 0.0237  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4506 
 Frequency = 1 
 Positive Predictive Value = 0.3482 
 Negative Predictive Value = 0.978 
 Probability Level = 0.0245  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4506 
 Frequency = 1 
 Positive Predictive Value = 0.3482 
 Negative Predictive Value = 0.978 
 Probability Level = 0.0245  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4444 
 Frequency = 1 
 Positive Predictive Value = 0.3514 
 Negative Predictive Value = 0.9783 
 Probability Level = 0.0249  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4444 
 Frequency = 1 
 Positive Predictive Value = 0.3514 
 Negative Predictive Value = 0.9783 
 Probability Level = 0.0249  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4383 
 Frequency = 1 
 Positive Predictive Value = 0.3545 
 Negative Predictive Value = 0.9785 
 Probability Level = 0.0268  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4383 
 Frequency = 1 
 Positive Predictive Value = 0.3545 
 Negative Predictive Value = 0.9785 
 Probability Level = 0.0268  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4321 
 Frequency = 1 
 Positive Predictive Value = 0.3578 
 Negative Predictive Value = 0.9787 
 Probability Level = 0.0272  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4321 
 Frequency = 1 
 Positive Predictive Value = 0.3578 
 Negative Predictive Value = 0.9787 
 Probability Level = 0.0272  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4259 
 Frequency = 1 
 Positive Predictive Value = 0.3611 
 Negative Predictive Value = 0.9789 
 Probability Level = 0.0277  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4259 
 Frequency = 1 
 Positive Predictive Value = 0.3611 
 Negative Predictive Value = 0.9789 
 Probability Level = 0.0277  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4198 
 Frequency = 1 
 Positive Predictive Value = 0.3645 
 Negative Predictive Value = 0.9792 
 Probability Level = 0.0292  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4198 
 Frequency = 1 
 Positive Predictive Value = 0.3645 
 Negative Predictive Value = 0.9792 
 Probability Level = 0.0292  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4136 
 Frequency = 1 
 Positive Predictive Value = 0.3679 
 Negative Predictive Value = 0.9794 
 Probability Level = 0.0295  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4136 
 Frequency = 1 
 Positive Predictive Value = 0.3679 
 Negative Predictive Value = 0.9794 
 Probability Level = 0.0295  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4074 
 Frequency = 1 
 Positive Predictive Value = 0.3714 
 Negative Predictive Value = 0.9796 
 Probability Level = 0.0299  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4074 
 Frequency = 1 
 Positive Predictive Value = 0.3714 
 Negative Predictive Value = 0.9796 
 Probability Level = 0.0299  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4012 
 Frequency = 1 
 Positive Predictive Value = 0.375 
 Negative Predictive Value = 0.9798 
 Probability Level = 0.03  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.4012 
 Frequency = 1 
 Positive Predictive Value = 0.375 
 Negative Predictive Value = 0.9798 
 Probability Level = 0.03  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3951 
 Frequency = 1 
 Positive Predictive Value = 0.3786 
 Negative Predictive Value = 0.98 
 Probability Level = 0.0302  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3951 
 Frequency = 1 
 Positive Predictive Value = 0.3786 
 Negative Predictive Value = 0.98 
 Probability Level = 0.0302  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3889 
 Frequency = 1 
 Positive Predictive Value = 0.3824 
 Negative Predictive Value = 0.9802 
 Probability Level = 0.0309  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3889 
 Frequency = 1 
 Positive Predictive Value = 0.3824 
 Negative Predictive Value = 0.9802 
 Probability Level = 0.0309  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3827 
 Frequency = 1 
 Positive Predictive Value = 0.3861 
 Negative Predictive Value = 0.9804 
 Probability Level = 0.032  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3827 
 Frequency = 1 
 Positive Predictive Value = 0.3861 
 Negative Predictive Value = 0.9804 
 Probability Level = 0.032  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3765 
 Frequency = 1 
 Positive Predictive Value = 0.39 
 Negative Predictive Value = 0.9806 
 Probability Level = 0.0362  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3765 
 Frequency = 1 
 Positive Predictive Value = 0.39 
 Negative Predictive Value = 0.9806 
 Probability Level = 0.0362  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3704 
 Frequency = 1 
 Positive Predictive Value = 0.3939 
 Negative Predictive Value = 0.9808 
 Probability Level = 0.0362  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3704 
 Frequency = 1 
 Positive Predictive Value = 0.3939 
 Negative Predictive Value = 0.9808 
 Probability Level = 0.0362  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3642 
 Frequency = 1 
 Positive Predictive Value = 0.398 
 Negative Predictive Value = 0.981 
 Probability Level = 0.0364  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3642 
 Frequency = 1 
 Positive Predictive Value = 0.398 
 Negative Predictive Value = 0.981 
 Probability Level = 0.0364  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.358 
 Frequency = 1 
 Positive Predictive Value = 0.4021 
 Negative Predictive Value = 0.9811 
 Probability Level = 0.0397  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.358 
 Frequency = 1 
 Positive Predictive Value = 0.4021 
 Negative Predictive Value = 0.9811 
 Probability Level = 0.0397  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3519 
 Frequency = 1 
 Positive Predictive Value = 0.4063 
 Negative Predictive Value = 0.9813 
 Probability Level = 0.0411  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3519 
 Frequency = 1 
 Positive Predictive Value = 0.4063 
 Negative Predictive Value = 0.9813 
 Probability Level = 0.0411  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3457 
 Frequency = 1 
 Positive Predictive Value = 0.4105 
 Negative Predictive Value = 0.9815 
 Probability Level = 0.0421  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3457 
 Frequency = 1 
 Positive Predictive Value = 0.4105 
 Negative Predictive Value = 0.9815 
 Probability Level = 0.0421  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3395 
 Frequency = 1 
 Positive Predictive Value = 0.4149 
 Negative Predictive Value = 0.9817 
 Probability Level = 0.0436  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3395 
 Frequency = 1 
 Positive Predictive Value = 0.4149 
 Negative Predictive Value = 0.9817 
 Probability Level = 0.0436  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3333 
 Frequency = 1 
 Positive Predictive Value = 0.4194 
 Negative Predictive Value = 0.9818 
 Probability Level = 0.0489  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3333 
 Frequency = 1 
 Positive Predictive Value = 0.4194 
 Negative Predictive Value = 0.9818 
 Probability Level = 0.0489  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3272 
 Frequency = 1 
 Positive Predictive Value = 0.4239 
 Negative Predictive Value = 0.982 
 Probability Level = 0.0495  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3272 
 Frequency = 1 
 Positive Predictive Value = 0.4239 
 Negative Predictive Value = 0.982 
 Probability Level = 0.0495  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.321 
 Frequency = 1 
 Positive Predictive Value = 0.4286 
 Negative Predictive Value = 0.9821 
 Probability Level = 0.0497  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.321 
 Frequency = 1 
 Positive Predictive Value = 0.4286 
 Negative Predictive Value = 0.9821 
 Probability Level = 0.0497  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3148 
 Frequency = 1 
 Positive Predictive Value = 0.4333 
 Negative Predictive Value = 0.9823 
 Probability Level = 0.0503  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3148 
 Frequency = 1 
 Positive Predictive Value = 0.4333 
 Negative Predictive Value = 0.9823 
 Probability Level = 0.0503  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3086 
 Frequency = 1 
 Positive Predictive Value = 0.4382 
 Negative Predictive Value = 0.9825 
 Probability Level = 0.0504  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3086 
 Frequency = 1 
 Positive Predictive Value = 0.4382 
 Negative Predictive Value = 0.9825 
 Probability Level = 0.0504  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3025 
 Frequency = 1 
 Positive Predictive Value = 0.4432 
 Negative Predictive Value = 0.9826 
 Probability Level = 0.0533  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.3025 
 Frequency = 1 
 Positive Predictive Value = 0.4432 
 Negative Predictive Value = 0.9826 
 Probability Level = 0.0533  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2963 
 Frequency = 1 
 Positive Predictive Value = 0.4483 
 Negative Predictive Value = 0.9828 
 Probability Level = 0.0542  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2963 
 Frequency = 1 
 Positive Predictive Value = 0.4483 
 Negative Predictive Value = 0.9828 
 Probability Level = 0.0542  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2901 
 Frequency = 1 
 Positive Predictive Value = 0.4535 
 Negative Predictive Value = 0.9829 
 Probability Level = 0.0558  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2901 
 Frequency = 1 
 Positive Predictive Value = 0.4535 
 Negative Predictive Value = 0.9829 
 Probability Level = 0.0558  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.284 
 Frequency = 1 
 Positive Predictive Value = 0.4588 
 Negative Predictive Value = 0.9831 
 Probability Level = 0.0567  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.284 
 Frequency = 1 
 Positive Predictive Value = 0.4588 
 Negative Predictive Value = 0.9831 
 Probability Level = 0.0567  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2778 
 Frequency = 1 
 Positive Predictive Value = 0.4643 
 Negative Predictive Value = 0.9832 
 Probability Level = 0.0584  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2778 
 Frequency = 1 
 Positive Predictive Value = 0.4643 
 Negative Predictive Value = 0.9832 
 Probability Level = 0.0584  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2716 
 Frequency = 1 
 Positive Predictive Value = 0.4699 
 Negative Predictive Value = 0.9833 
 Probability Level = 0.0661  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2716 
 Frequency = 1 
 Positive Predictive Value = 0.4699 
 Negative Predictive Value = 0.9833 
 Probability Level = 0.0661  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2654 
 Frequency = 1 
 Positive Predictive Value = 0.4756 
 Negative Predictive Value = 0.9835 
 Probability Level = 0.0703  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2654 
 Frequency = 1 
 Positive Predictive Value = 0.4756 
 Negative Predictive Value = 0.9835 
 Probability Level = 0.0703  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2593 
 Frequency = 1 
 Positive Predictive Value = 0.4815 
 Negative Predictive Value = 0.9836 
 Probability Level = 0.0744  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2593 
 Frequency = 1 
 Positive Predictive Value = 0.4815 
 Negative Predictive Value = 0.9836 
 Probability Level = 0.0744  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2531 
 Frequency = 1 
 Positive Predictive Value = 0.4875 
 Negative Predictive Value = 0.9837 
 Probability Level = 0.0748  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2531 
 Frequency = 1 
 Positive Predictive Value = 0.4875 
 Negative Predictive Value = 0.9837 
 Probability Level = 0.0748  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2469 
 Frequency = 1 
 Positive Predictive Value = 0.4937 
 Negative Predictive Value = 0.9839 
 Probability Level = 0.0756  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2469 
 Frequency = 1 
 Positive Predictive Value = 0.4937 
 Negative Predictive Value = 0.9839 
 Probability Level = 0.0756  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2407 
 Frequency = 1 
 Positive Predictive Value = 0.5 
 Negative Predictive Value = 0.984 
 Probability Level = 0.0761  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2407 
 Frequency = 1 
 Positive Predictive Value = 0.5 
 Negative Predictive Value = 0.984 
 Probability Level = 0.0761  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2346 
 Frequency = 1 
 Positive Predictive Value = 0.5065 
 Negative Predictive Value = 0.9841 
 Probability Level = 0.0774  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2346 
 Frequency = 1 
 Positive Predictive Value = 0.5065 
 Negative Predictive Value = 0.9841 
 Probability Level = 0.0774  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2284 
 Frequency = 1 
 Positive Predictive Value = 0.5132 
 Negative Predictive Value = 0.9843 
 Probability Level = 0.0778  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2284 
 Frequency = 1 
 Positive Predictive Value = 0.5132 
 Negative Predictive Value = 0.9843 
 Probability Level = 0.0778  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2222 
 Frequency = 1 
 Positive Predictive Value = 0.52 
 Negative Predictive Value = 0.9844 
 Probability Level = 0.0804  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.2222 
 Frequency = 1 
 Positive Predictive Value = 0.52 
 Negative Predictive Value = 0.9844 
 Probability Level = 0.0804  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.216 
 Frequency = 1 
 Positive Predictive Value = 0.527 
 Negative Predictive Value = 0.9845 
 Probability Level = 0.0808  Model = Model  (0.9487) 
 Sensitivity = 0.9512 
 1 - Specificity = 0.216 
 Frequency = 1 
 Positive Predictive Value = 0.527 
 Negative Predictive Value = 0.9845 
 Probability Level = 0.0808  Model = Model  (0.9487) 
 Sensitivity = 0.9268 
 1 - Specificity = 0.216 
 Frequency = 1 
 Positive Predictive Value = 0.5205 
 Negative Predictive Value = 0.9769 
 Probability Level = 0.0855  Model = Model  (0.9487) 
 Sensitivity = 0.9268 
 1 - Specificity = 0.216 
 Frequency = 1 
 Positive Predictive Value = 0.5205 
 Negative Predictive Value = 0.9769 
 Probability Level = 0.0855  Model = Model  (0.9487) 
 Sensitivity = 0.9268 
 1 - Specificity = 0.2099 
 Frequency = 1 
 Positive Predictive Value = 0.5278 
 Negative Predictive Value = 0.9771 
 Probability Level = 0.0874  Model = Model  (0.9487) 
 Sensitivity = 0.9268 
 1 - Specificity = 0.2099 
 Frequency = 1 
 Positive Predictive Value = 0.5278 
 Negative Predictive Value = 0.9771 
 Probability Level = 0.0874  Model = Model  (0.9487) 
 Sensitivity = 0.9268 
 1 - Specificity = 0.2037 
 Frequency = 1 
 Positive Predictive Value = 0.5352 
 Negative Predictive Value = 0.9773 
 Probability Level = 0.0879  Model = Model  (0.9487) 
 Sensitivity = 0.9268 
 1 - Specificity = 0.2037 
 Frequency = 1 
 Positive Predictive Value = 0.5352 
 Negative Predictive Value = 0.9773 
 Probability Level = 0.0879  Model = Model  (0.9487) 
 Sensitivity = 0.9268 
 1 - Specificity = 0.1975 
 Frequency = 1 
 Positive Predictive Value = 0.5429 
 Negative Predictive Value = 0.9774 
 Probability Level = 0.0888  Model = Model  (0.9487) 
 Sensitivity = 0.9268 
 1 - Specificity = 0.1975 
 Frequency = 1 
 Positive Predictive Value = 0.5429 
 Negative Predictive Value = 0.9774 
 Probability Level = 0.0888  Model = Model  (0.9487) 
 Sensitivity = 0.9268 
 1 - Specificity = 0.1914 
 Frequency = 1 
 Positive Predictive Value = 0.5507 
 Negative Predictive Value = 0.9776 
 Probability Level = 0.0898  Model = Model  (0.9487) 
 Sensitivity = 0.9268 
 1 - Specificity = 0.1914 
 Frequency = 1 
 Positive Predictive Value = 0.5507 
 Negative Predictive Value = 0.9776 
 Probability Level = 0.0898  Model = Model  (0.9487) 
 Sensitivity = 0.9268 
 1 - Specificity = 0.1852 
 Frequency = 1 
 Positive Predictive Value = 0.5588 
 Negative Predictive Value = 0.9778 
 Probability Level = 0.0908  Model = Model  (0.9487) 
 Sensitivity = 0.9268 
 1 - Specificity = 0.1852 
 Frequency = 1 
 Positive Predictive Value = 0.5588 
 Negative Predictive Value = 0.9778 
 Probability Level = 0.0908  Model = Model  (0.9487) 
 Sensitivity = 0.9268 
 1 - Specificity = 0.179 
 Frequency = 1 
 Positive Predictive Value = 0.5672 
 Negative Predictive Value = 0.9779 
 Probability Level = 0.0944  Model = Model  (0.9487) 
 Sensitivity = 0.9268 
 1 - Specificity = 0.179 
 Frequency = 1 
 Positive Predictive Value = 0.5672 
 Negative Predictive Value = 0.9779 
 Probability Level = 0.0944  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.179 
 Frequency = 1 
 Positive Predictive Value = 0.5606 
 Negative Predictive Value = 0.9708 
 Probability Level = 0.0959  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.179 
 Frequency = 1 
 Positive Predictive Value = 0.5606 
 Negative Predictive Value = 0.9708 
 Probability Level = 0.0959  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1728 
 Frequency = 1 
 Positive Predictive Value = 0.5692 
 Negative Predictive Value = 0.971 
 Probability Level = 0.0992  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1728 
 Frequency = 1 
 Positive Predictive Value = 0.5692 
 Negative Predictive Value = 0.971 
 Probability Level = 0.0992  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1667 
 Frequency = 1 
 Positive Predictive Value = 0.5781 
 Negative Predictive Value = 0.9712 
 Probability Level = 0.111  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1667 
 Frequency = 1 
 Positive Predictive Value = 0.5781 
 Negative Predictive Value = 0.9712 
 Probability Level = 0.111  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1605 
 Frequency = 1 
 Positive Predictive Value = 0.5873 
 Negative Predictive Value = 0.9714 
 Probability Level = 0.1159  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1605 
 Frequency = 1 
 Positive Predictive Value = 0.5873 
 Negative Predictive Value = 0.9714 
 Probability Level = 0.1159  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1543 
 Frequency = 1 
 Positive Predictive Value = 0.5968 
 Negative Predictive Value = 0.9716 
 Probability Level = 0.1203  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1543 
 Frequency = 1 
 Positive Predictive Value = 0.5968 
 Negative Predictive Value = 0.9716 
 Probability Level = 0.1203  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1481 
 Frequency = 1 
 Positive Predictive Value = 0.6066 
 Negative Predictive Value = 0.9718 
 Probability Level = 0.1211  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1481 
 Frequency = 1 
 Positive Predictive Value = 0.6066 
 Negative Predictive Value = 0.9718 
 Probability Level = 0.1211  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.142 
 Frequency = 1 
 Positive Predictive Value = 0.6167 
 Negative Predictive Value = 0.972 
 Probability Level = 0.1222  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.142 
 Frequency = 1 
 Positive Predictive Value = 0.6167 
 Negative Predictive Value = 0.972 
 Probability Level = 0.1222  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1358 
 Frequency = 1 
 Positive Predictive Value = 0.6271 
 Negative Predictive Value = 0.9722 
 Probability Level = 0.1229  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1358 
 Frequency = 1 
 Positive Predictive Value = 0.6271 
 Negative Predictive Value = 0.9722 
 Probability Level = 0.1229  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1296 
 Frequency = 1 
 Positive Predictive Value = 0.6379 
 Negative Predictive Value = 0.9724 
 Probability Level = 0.1248  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1296 
 Frequency = 1 
 Positive Predictive Value = 0.6379 
 Negative Predictive Value = 0.9724 
 Probability Level = 0.1248  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1235 
 Frequency = 1 
 Positive Predictive Value = 0.6491 
 Negative Predictive Value = 0.9726 
 Probability Level = 0.1295  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1235 
 Frequency = 1 
 Positive Predictive Value = 0.6491 
 Negative Predictive Value = 0.9726 
 Probability Level = 0.1295  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1173 
 Frequency = 1 
 Positive Predictive Value = 0.6607 
 Negative Predictive Value = 0.9728 
 Probability Level = 0.1387  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1173 
 Frequency = 1 
 Positive Predictive Value = 0.6607 
 Negative Predictive Value = 0.9728 
 Probability Level = 0.1387  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1111 
 Frequency = 1 
 Positive Predictive Value = 0.6727 
 Negative Predictive Value = 0.973 
 Probability Level = 0.1401  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1111 
 Frequency = 1 
 Positive Predictive Value = 0.6727 
 Negative Predictive Value = 0.973 
 Probability Level = 0.1401  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1049 
 Frequency = 1 
 Positive Predictive Value = 0.6852 
 Negative Predictive Value = 0.9732 
 Probability Level = 0.1436  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.1049 
 Frequency = 1 
 Positive Predictive Value = 0.6852 
 Negative Predictive Value = 0.9732 
 Probability Level = 0.1436  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.0988 
 Frequency = 1 
 Positive Predictive Value = 0.6981 
 Negative Predictive Value = 0.9733 
 Probability Level = 0.1463  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.0988 
 Frequency = 1 
 Positive Predictive Value = 0.6981 
 Negative Predictive Value = 0.9733 
 Probability Level = 0.1463  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.0926 
 Frequency = 1 
 Positive Predictive Value = 0.7115 
 Negative Predictive Value = 0.9735 
 Probability Level = 0.1472  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.0926 
 Frequency = 1 
 Positive Predictive Value = 0.7115 
 Negative Predictive Value = 0.9735 
 Probability Level = 0.1472  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.0864 
 Frequency = 1 
 Positive Predictive Value = 0.7255 
 Negative Predictive Value = 0.9737 
 Probability Level = 0.1679  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.0864 
 Frequency = 1 
 Positive Predictive Value = 0.7255 
 Negative Predictive Value = 0.9737 
 Probability Level = 0.1679  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.0802 
 Frequency = 1 
 Positive Predictive Value = 0.74 
 Negative Predictive Value = 0.9739 
 Probability Level = 0.1861  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.0802 
 Frequency = 1 
 Positive Predictive Value = 0.74 
 Negative Predictive Value = 0.9739 
 Probability Level = 0.1861  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.0741 
 Frequency = 1 
 Positive Predictive Value = 0.7551 
 Negative Predictive Value = 0.974 
 Probability Level = 0.2238  Model = Model  (0.9487) 
 Sensitivity = 0.9024 
 1 - Specificity = 0.0741 
 Frequency = 1 
 Positive Predictive Value = 0.7551 
 Negative Predictive Value = 0.974 
 Probability Level = 0.2238  Model = Model  (0.9487) 
 Sensitivity = 0.878 
 1 - Specificity = 0.0741 
 Frequency = 1 
 Positive Predictive Value = 0.75 
 Negative Predictive Value = 0.9677 
 Probability Level = 0.2527  Model = Model  (0.9487) 
 Sensitivity = 0.878 
 1 - Specificity = 0.0741 
 Frequency = 1 
 Positive Predictive Value = 0.75 
 Negative Predictive Value = 0.9677 
 Probability Level = 0.2527  Model = Model  (0.9487) 
 Sensitivity = 0.8537 
 1 - Specificity = 0.0741 
 Frequency = 1 
 Positive Predictive Value = 0.7447 
 Negative Predictive Value = 0.9615 
 Probability Level = 0.2581  Model = Model  (0.9487) 
 Sensitivity = 0.8537 
 1 - Specificity = 0.0741 
 Frequency = 1 
 Positive Predictive Value = 0.7447 
 Negative Predictive Value = 0.9615 
 Probability Level = 0.2581  Model = Model  (0.9487) 
 Sensitivity = 0.8537 
 1 - Specificity = 0.0679 
 Frequency = 1 
 Positive Predictive Value = 0.7609 
 Negative Predictive Value = 0.9618 
 Probability Level = 0.2619  Model = Model  (0.9487) 
 Sensitivity = 0.8537 
 1 - Specificity = 0.0679 
 Frequency = 1 
 Positive Predictive Value = 0.7609 
 Negative Predictive Value = 0.9618 
 Probability Level = 0.2619  Model = Model  (0.9487) 
 Sensitivity = 0.8537 
 1 - Specificity = 0.0617 
 Frequency = 1 
 Positive Predictive Value = 0.7778 
 Negative Predictive Value = 0.962 
 Probability Level = 0.2726  Model = Model  (0.9487) 
 Sensitivity = 0.8537 
 1 - Specificity = 0.0617 
 Frequency = 1 
 Positive Predictive Value = 0.7778 
 Negative Predictive Value = 0.962 
 Probability Level = 0.2726  Model = Model  (0.9487) 
 Sensitivity = 0.8537 
 1 - Specificity = 0.0556 
 Frequency = 1 
 Positive Predictive Value = 0.7955 
 Negative Predictive Value = 0.9623 
 Probability Level = 0.3025  Model = Model  (0.9487) 
 Sensitivity = 0.8537 
 1 - Specificity = 0.0556 
 Frequency = 1 
 Positive Predictive Value = 0.7955 
 Negative Predictive Value = 0.9623 
 Probability Level = 0.3025  Model = Model  (0.9487) 
 Sensitivity = 0.8293 
 1 - Specificity = 0.0556 
 Frequency = 1 
 Positive Predictive Value = 0.7907 
 Negative Predictive Value = 0.9563 
 Probability Level = 0.3048  Model = Model  (0.9487) 
 Sensitivity = 0.8293 
 1 - Specificity = 0.0556 
 Frequency = 1 
 Positive Predictive Value = 0.7907 
 Negative Predictive Value = 0.9563 
 Probability Level = 0.3048  Model = Model  (0.9487) 
 Sensitivity = 0.8293 
 1 - Specificity = 0.0494 
 Frequency = 1 
 Positive Predictive Value = 0.8095 
 Negative Predictive Value = 0.9565 
 Probability Level = 0.3606  Model = Model  (0.9487) 
 Sensitivity = 0.8293 
 1 - Specificity = 0.0494 
 Frequency = 1 
 Positive Predictive Value = 0.8095 
 Negative Predictive Value = 0.9565 
 Probability Level = 0.3606  Model = Model  (0.9487) 
 Sensitivity = 0.8293 
 1 - Specificity = 0.0432 
 Frequency = 1 
 Positive Predictive Value = 0.8293 
 Negative Predictive Value = 0.9568 
 Probability Level = 0.3694  Model = Model  (0.9487) 
 Sensitivity = 0.8293 
 1 - Specificity = 0.0432 
 Frequency = 1 
 Positive Predictive Value = 0.8293 
 Negative Predictive Value = 0.9568 
 Probability Level = 0.3694  Model = Model  (0.9487) 
 Sensitivity = 0.8293 
 1 - Specificity = 0.037 
 Frequency = 1 
 Positive Predictive Value = 0.85 
 Negative Predictive Value = 0.9571 
 Probability Level = 0.4435  Model = Model  (0.9487) 
 Sensitivity = 0.8293 
 1 - Specificity = 0.037 
 Frequency = 1 
 Positive Predictive Value = 0.85 
 Negative Predictive Value = 0.9571 
 Probability Level = 0.4435  Model = Model  (0.9487) 
 Sensitivity = 0.8293 
 1 - Specificity = 0.0309 
 Frequency = 1 
 Positive Predictive Value = 0.8718 
 Negative Predictive Value = 0.9573 
 Probability Level = 0.4749  Model = Model  (0.9487) 
 Sensitivity = 0.8293 
 1 - Specificity = 0.0309 
 Frequency = 1 
 Positive Predictive Value = 0.8718 
 Negative Predictive Value = 0.9573 
 Probability Level = 0.4749  Model = Model  (0.9487) 
 Sensitivity = 0.8049 
 1 - Specificity = 0.0309 
 Frequency = 1 
 Positive Predictive Value = 0.8684 
 Negative Predictive Value = 0.9515 
 Probability Level = 0.4818  Model = Model  (0.9487) 
 Sensitivity = 0.8049 
 1 - Specificity = 0.0309 
 Frequency = 1 
 Positive Predictive Value = 0.8684 
 Negative Predictive Value = 0.9515 
 Probability Level = 0.4818  Model = Model  (0.9487) 
 Sensitivity = 0.7805 
 1 - Specificity = 0.0309 
 Frequency = 1 
 Positive Predictive Value = 0.8649 
 Negative Predictive Value = 0.9458 
 Probability Level = 0.5455  Model = Model  (0.9487) 
 Sensitivity = 0.7805 
 1 - Specificity = 0.0309 
 Frequency = 1 
 Positive Predictive Value = 0.8649 
 Negative Predictive Value = 0.9458 
 Probability Level = 0.5455  Model = Model  (0.9487) 
 Sensitivity = 0.7805 
 1 - Specificity = 0.0247 
 Frequency = 1 
 Positive Predictive Value = 0.8889 
 Negative Predictive Value = 0.9461 
 Probability Level = 0.5856  Model = Model  (0.9487) 
 Sensitivity = 0.7805 
 1 - Specificity = 0.0247 
 Frequency = 1 
 Positive Predictive Value = 0.8889 
 Negative Predictive Value = 0.9461 
 Probability Level = 0.5856  Model = Model  (0.9487) 
 Sensitivity = 0.7561 
 1 - Specificity = 0.0247 
 Frequency = 1 
 Positive Predictive Value = 0.8857 
 Negative Predictive Value = 0.9405 
 Probability Level = 0.6261  Model = Model  (0.9487) 
 Sensitivity = 0.7561 
 1 - Specificity = 0.0247 
 Frequency = 1 
 Positive Predictive Value = 0.8857 
 Negative Predictive Value = 0.9405 
 Probability Level = 0.6261  Model = Model  (0.9487) 
 Sensitivity = 0.7317 
 1 - Specificity = 0.0247 
 Frequency = 1 
 Positive Predictive Value = 0.8824 
 Negative Predictive Value = 0.9349 
 Probability Level = 0.6309  Model = Model  (0.9487) 
 Sensitivity = 0.7317 
 1 - Specificity = 0.0247 
 Frequency = 1 
 Positive Predictive Value = 0.8824 
 Negative Predictive Value = 0.9349 
 Probability Level = 0.6309  Model = Model  (0.9487) 
 Sensitivity = 0.7317 
 1 - Specificity = 0.0185 
 Frequency = 1 
 Positive Predictive Value = 0.9091 
 Negative Predictive Value = 0.9353 
 Probability Level = 0.6435  Model = Model  (0.9487) 
 Sensitivity = 0.7317 
 1 - Specificity = 0.0185 
 Frequency = 1 
 Positive Predictive Value = 0.9091 
 Negative Predictive Value = 0.9353 
 Probability Level = 0.6435  Model = Model  (0.9487) 
 Sensitivity = 0.7317 
 1 - Specificity = 0.0123 
 Frequency = 1 
 Positive Predictive Value = 0.9375 
 Negative Predictive Value = 0.9357 
 Probability Level = 0.6457  Model = Model  (0.9487) 
 Sensitivity = 0.7317 
 1 - Specificity = 0.0123 
 Frequency = 1 
 Positive Predictive Value = 0.9375 
 Negative Predictive Value = 0.9357 
 Probability Level = 0.6457  Model = Model  (0.9487) 
 Sensitivity = 0.7073 
 1 - Specificity = 0.0123 
 Frequency = 1 
 Positive Predictive Value = 0.9355 
 Negative Predictive Value = 0.9302 
 Probability Level = 0.6471  Model = Model  (0.9487) 
 Sensitivity = 0.7073 
 1 - Specificity = 0.0123 
 Frequency = 1 
 Positive Predictive Value = 0.9355 
 Negative Predictive Value = 0.9302 
 Probability Level = 0.6471  Model = Model  (0.9487) 
 Sensitivity = 0.7073 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9667 
 Negative Predictive Value = 0.9306 
 Probability Level = 0.6704  Model = Model  (0.9487) 
 Sensitivity = 0.7073 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9667 
 Negative Predictive Value = 0.9306 
 Probability Level = 0.6704  Model = Model  (0.9487) 
 Sensitivity = 0.6829 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9655 
 Negative Predictive Value = 0.9253 
 Probability Level = 0.7595  Model = Model  (0.9487) 
 Sensitivity = 0.6829 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9655 
 Negative Predictive Value = 0.9253 
 Probability Level = 0.7595  Model = Model  (0.9487) 
 Sensitivity = 0.6585 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9643 
 Negative Predictive Value = 0.92 
 Probability Level = 0.7827  Model = Model  (0.9487) 
 Sensitivity = 0.6585 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9643 
 Negative Predictive Value = 0.92 
 Probability Level = 0.7827  Model = Model  (0.9487) 
 Sensitivity = 0.6341 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.963 
 Negative Predictive Value = 0.9148 
 Probability Level = 0.8203  Model = Model  (0.9487) 
 Sensitivity = 0.6341 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.963 
 Negative Predictive Value = 0.9148 
 Probability Level = 0.8203  Model = Model  (0.9487) 
 Sensitivity = 0.6098 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9615 
 Negative Predictive Value = 0.9096 
 Probability Level = 0.8229  Model = Model  (0.9487) 
 Sensitivity = 0.6098 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9615 
 Negative Predictive Value = 0.9096 
 Probability Level = 0.8229  Model = Model  (0.9487) 
 Sensitivity = 0.5854 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.96 
 Negative Predictive Value = 0.9045 
 Probability Level = 0.831  Model = Model  (0.9487) 
 Sensitivity = 0.5854 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.96 
 Negative Predictive Value = 0.9045 
 Probability Level = 0.831  Model = Model  (0.9487) 
 Sensitivity = 0.561 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9583 
 Negative Predictive Value = 0.8994 
 Probability Level = 0.8357  Model = Model  (0.9487) 
 Sensitivity = 0.561 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9583 
 Negative Predictive Value = 0.8994 
 Probability Level = 0.8357  Model = Model  (0.9487) 
 Sensitivity = 0.5366 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9565 
 Negative Predictive Value = 0.8944 
 Probability Level = 0.8406  Model = Model  (0.9487) 
 Sensitivity = 0.5366 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9565 
 Negative Predictive Value = 0.8944 
 Probability Level = 0.8406  Model = Model  (0.9487) 
 Sensitivity = 0.5122 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9545 
 Negative Predictive Value = 0.8895 
 Probability Level = 0.8584  Model = Model  (0.9487) 
 Sensitivity = 0.5122 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9545 
 Negative Predictive Value = 0.8895 
 Probability Level = 0.8584  Model = Model  (0.9487) 
 Sensitivity = 0.4878 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9524 
 Negative Predictive Value = 0.8846 
 Probability Level = 0.8648  Model = Model  (0.9487) 
 Sensitivity = 0.4878 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9524 
 Negative Predictive Value = 0.8846 
 Probability Level = 0.8648  Model = Model  (0.9487) 
 Sensitivity = 0.4634 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.95 
 Negative Predictive Value = 0.8798 
 Probability Level = 0.8659  Model = Model  (0.9487) 
 Sensitivity = 0.4634 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.95 
 Negative Predictive Value = 0.8798 
 Probability Level = 0.8659  Model = Model  (0.9487) 
 Sensitivity = 0.439 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9474 
 Negative Predictive Value = 0.875 
 Probability Level = 0.8669  Model = Model  (0.9487) 
 Sensitivity = 0.439 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9474 
 Negative Predictive Value = 0.875 
 Probability Level = 0.8669  Model = Model  (0.9487) 
 Sensitivity = 0.4146 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9444 
 Negative Predictive Value = 0.8703 
 Probability Level = 0.8838  Model = Model  (0.9487) 
 Sensitivity = 0.4146 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9444 
 Negative Predictive Value = 0.8703 
 Probability Level = 0.8838  Model = Model  (0.9487) 
 Sensitivity = 0.3902 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9412 
 Negative Predictive Value = 0.8656 
 Probability Level = 0.901  Model = Model  (0.9487) 
 Sensitivity = 0.3902 
 1 - Specificity = 0.0062 
 Frequency = 1 
 Positive Predictive Value = 0.9412 
 Negative Predictive Value = 0.8656 
 Probability Level = 0.901  Model = Model  (0.9487) 
 Sensitivity = 0.3902 
 1 - Specificity = 0 
 Frequency = 1 
 Positive Predictive Value = 1 
 Negative Predictive Value = 0.8663 
 Probability Level = 0.9061  Model = Model  (0.9487) 
 Sensitivity = 0.3902 
 1 - Specificity = 0 
 Frequency = 1 
 Positive Predictive Value = 1 
 Negative Predictive Value = 0.8663 
 Probability Level = 0.9061  Model = Model  (0.9487) 
 Sensitivity = 0.3659 
 1 - Specificity = 0 
 Frequency = 1 
 Positive Predictive Value = 1 
 Negative Predictive Value = 0.8617 
 Probability Level = 0.929  Model = Model  (0.9487) 
 Sensitivity = 0.3659 
 1 - Specificity = 0 
 Frequency = 1 
 Positive Predictive Value = 1 
 Negative Predictive Value = 0.8617 
 Probability Level = 0.929  Model = Model  (0.9487) 
 Sensitivity = 0.3415 
 1 - Specificity = 0 
 Frequency = 1 
 Positive Predictive Value = 1 
 Negative Predictive Value = 0.8571 
 Probability Level = 0.9364  Model = Model  (0.9487) 
 Sensitivity = 0.3415 
 1 - Specificity = 0 
 Frequency = 1 
 Positive Predictive Value = 1 
 Negative Predictive Value = 0.8571 
 Probability Level = 0.9364  Model = Model  (0.9487) 
 Sensitivity = 0.3171 
 1 - Specificity = 0 
 Frequency = 1 
 Positive Predictive Value = 1 
 Negative Predictive Value = 0.8526 
 Probability Level = 0.9455  Model = Model  (0.9487) 
 Sensitivity = 0.3171 
 1 - Specificity = 0 
 Frequency = 1 
 Positive Predictive Value = 1 
 Negative Predictive Value = 0.8526 
 Probability Level = 0.9455  Model = Model  (0.9487) 
 Sensitivity = 0.2927 
 1 - Specificity = 0 
 Frequency = 1 
 Positive Predictive Value = 1 
 Negative Predictive Value = 0.8482 
 Probability Level = 0.9964  Model = Model  (0.9487) 
 Sensitivity = 0.2927 
 1 - Specificity = 0 
 Frequency = 1 
 Positive Predictive Value = 1 
 Negative Predictive Value = 0.8482 
 Probability Level = 0.9964  Model = Model  (0.9487) 
 Sensitivity = 0.2683 
 1 - Specificity = 0 
 Frequency = 1 
 Positive Predictive Value = 1 
 Negative Predictive Value = 0.8438 
 Probability Level = 1  Model = Model  (0.9487) 
 Sensitivity = 0.2683 
 1 - Specificity = 0 
 Frequency = 1 
 Positive Predictive Value = 1 
 Negative Predictive Value = 0.8438 
 Probability Level = 1  Model = Model  (0.9487) 
 Sensitivity = 0.2439 
 1 - Specificity = 0 
 Frequency = 1 
 Positive Predictive Value = 1 
 Negative Predictive Value = 0.8394 
 Probability Level = 1  Model = Model  (0.9487) 
 Sensitivity = 0.2439 
 1 - Specificity = 0 
 Frequency = 1 
 Positive Predictive Value = 1 
 Negative Predictive Value = 0.8394 
 Probability Level = 1  Model = Model  (0.9487) 
 Sensitivity = 0.2195 
 1 - Specificity = 0 
 Frequency = 1 
 Positive Predictive Value = 1 
 Negative Predictive Value = 0.8351 
 Probability Level = 1  Model = Model  (0.9487) 
 Sensitivity = 0.2195 
 1 - Specificity = 0 
 Frequency = 1 
 Positive Predictive Value = 1 
 Negative Predictive Value = 0.8351 
 Probability Level = 1  Model = Model  (0.9487) 
 Sensitivity = 0.1951 
 1 - Specificity = 0 
 Frequency = 8 
 Positive Predictive Value = 1 
 Negative Predictive Value = 0.8308 
 Probability Level = 1  Model = Model  (0.9487) 
 Sensitivity = 0.1951 
 1 - Specificity = 0 
 Frequency = 8 
 Positive Predictive Value = 1 
 Negative Predictive Value = 0.8308 
 Probability Level = 1  Model = Model  (0.9487) 
 Sensitivity = 0 
 1 - Specificity = 0 
 Frequency = 0 
 Positive Predictive Value = . 
 Negative Predictive Value = 0.2531 
 Probability Level = 1  Slope = 1 
 Y = 0
ROC Curve for Model

Influence Plots

Panel 1

 Pearson Residual = -0.079 
 Case Number = 203 
 House Rating = Low  Pearson Residual = -0.1 
 Case Number = 202 
 House Rating = Low  Pearson Residual = -0.229 
 Case Number = 201 
 House Rating = Low  Pearson Residual = -0.122 
 Case Number = 200 
 House Rating = Low  Pearson Residual = -0.114 
 Case Number = 199 
 House Rating = Low  Pearson Residual = -0.083 
 Case Number = 198 
 House Rating = Low  Pearson Residual = -0.213 
 Case Number = 197 
 House Rating = Low  Pearson Residual = -18E-5 
 Case Number = 196 
 House Rating = Low  Pearson Residual = -0.167 
 Case Number = 195 
 House Rating = Low  Pearson Residual = -0.077 
 Case Number = 194 
 House Rating = Low  Pearson Residual = -0.23 
 Case Number = 193 
 House Rating = Low  Pearson Residual = -0.306 
 Case Number = 192 
 House Rating = Low  Pearson Residual = -0.132 
 Case Number = 191 
 House Rating = Low  Pearson Residual = 0.8413 
 Case Number = 190 
 House Rating = High  Pearson Residual = -0.03 
 Case Number = 189 
 House Rating = Low  Pearson Residual = -0.076 
 Case Number = 188 
 House Rating = Low  Pearson Residual = -0.362 
 Case Number = 187 
 House Rating = Low  Pearson Residual = -0.132 
 Case Number = 186 
 House Rating = Low  Pearson Residual = 12.957 
 Case Number = 185 
 House Rating = High  Pearson Residual = -0.31 
 Case Number = 184 
 House Rating = Low  Pearson Residual = -0.076 
 Case Number = 183 
 House Rating = Low  Pearson Residual = -0.751 
 Case Number = 182 
 House Rating = Low  Pearson Residual = -0.093 
 Case Number = 181 
 House Rating = Low  Pearson Residual = -0.082 
 Case Number = 180 
 House Rating = Low  Pearson Residual = -0.243 
 Case Number = 179 
 House Rating = Low  Pearson Residual = -0.332 
 Case Number = 178 
 House Rating = Low  Pearson Residual = -0.123 
 Case Number = 177 
 House Rating = Low  Pearson Residual = -0.088 
 Case Number = 176 
 House Rating = Low  Pearson Residual = -0.012 
 Case Number = 175 
 House Rating = Low  Pearson Residual = -0.074 
 Case Number = 174 
 House Rating = Low  Pearson Residual = -0.449 
 Case Number = 173 
 House Rating = Low  Pearson Residual = -0.249 
 Case Number = 172 
 House Rating = Low  Pearson Residual = -0.316 
 Case Number = 171 
 House Rating = Low  Pearson Residual = -0.182 
 Case Number = 170 
 House Rating = Low  Pearson Residual = -0.102 
 Case Number = 169 
 House Rating = Low  Pearson Residual = -0.101 
 Case Number = 168 
 House Rating = Low  Pearson Residual = -0.103 
 Case Number = 167 
 House Rating = Low  Pearson Residual = -0.01 
 Case Number = 166 
 House Rating = Low  Pearson Residual = -0.061 
 Case Number = 165 
 House Rating = Low  Pearson Residual = -0.21 
 Case Number = 164 
 House Rating = Low  Pearson Residual = -0.179 
 Case Number = 163 
 House Rating = Low  Pearson Residual = -0.114 
 Case Number = 162 
 House Rating = Low  Pearson Residual = -0.02 
 Case Number = 161 
 House Rating = Low  Pearson Residual = -0.174 
 Case Number = 160 
 House Rating = Low  Pearson Residual = -0.122 
 Case Number = 159 
 House Rating = Low  Pearson Residual = -0.29 
 Case Number = 158 
 House Rating = Low  Pearson Residual = -0.175 
 Case Number = 157 
 House Rating = Low  Pearson Residual = -0.126 
 Case Number = 156 
 House Rating = Low  Pearson Residual = -0.893 
 Case Number = 155 
 House Rating = Low  Pearson Residual = -0.068 
 Case Number = 154 
 House Rating = Low  Pearson Residual = -0.071 
 Case Number = 153 
 House Rating = Low  Pearson Residual = -0.017 
 Case Number = 152 
 House Rating = Low  Pearson Residual = -0.069 
 Case Number = 151 
 House Rating = Low  Pearson Residual = -0.095 
 Case Number = 150 
 House Rating = Low  Pearson Residual = -0.103 
 Case Number = 149 
 House Rating = Low  Pearson Residual = -0.076 
 Case Number = 148 
 House Rating = Low  Pearson Residual = -0.125 
 Case Number = 147 
 House Rating = Low  Pearson Residual = -0.097 
 Case Number = 146 
 House Rating = Low  Pearson Residual = -0.03 
 Case Number = 145 
 House Rating = Low  Pearson Residual = -0.005 
 Case Number = 144 
 House Rating = Low  Pearson Residual = -0.371 
 Case Number = 143 
 House Rating = Low  Pearson Residual = -0.067 
 Case Number = 142 
 House Rating = Low  Pearson Residual = -0.104 
 Case Number = 141 
 House Rating = Low  Pearson Residual = -0.001 
 Case Number = 140 
 House Rating = Low  Pearson Residual = -0.021 
 Case Number = 139 
 House Rating = Low  Pearson Residual = -0.085 
 Case Number = 138 
 House Rating = Low  Pearson Residual = -0.409 
 Case Number = 137 
 House Rating = Low  Pearson Residual = 0.3627 
 Case Number = 136 
 House Rating = High  Pearson Residual = -0.081 
 Case Number = 135 
 House Rating = Low  Pearson Residual = -41E-5 
 Case Number = 134 
 House Rating = Low  Pearson Residual = -0.084 
 Case Number = 133 
 House Rating = Low  Pearson Residual = -0.11 
 Case Number = 132 
 House Rating = Low  Pearson Residual = -0.227 
 Case Number = 131 
 House Rating = Low  Pearson Residual = -0.194 
 Case Number = 130 
 House Rating = Low  Pearson Residual = -0.07 
 Case Number = 129 
 House Rating = Low  Pearson Residual = -0.022 
 Case Number = 128 
 House Rating = Low  Pearson Residual = -0.026 
 Case Number = 127 
 House Rating = Low  Pearson Residual = -0.156 
 Case Number = 126 
 House Rating = Low  Pearson Residual = -0.141 
 Case Number = 125 
 House Rating = Low  Pearson Residual = -0.118 
 Case Number = 124 
 House Rating = Low  Pearson Residual = 0.4354 
 Case Number = 123 
 House Rating = High  Pearson Residual = -0.374 
 Case Number = 122 
 House Rating = Low  Pearson Residual = -2E-9 
 Case Number = 121 
 House Rating = Low  Pearson Residual = -0.166 
 Case Number = 120 
 House Rating = Low  Pearson Residual = -0.596 
 Case Number = 119 
 House Rating = Low  Pearson Residual = -0.29 
 Case Number = 118 
 House Rating = Low  Pearson Residual = 0.7728 
 Case Number = 117 
 House Rating = High  Pearson Residual = -0.028 
 Case Number = 116 
 House Rating = Low  Pearson Residual = -0.176 
 Case Number = 115 
 House Rating = Low  Pearson Residual = -0.16 
 Case Number = 114 
 House Rating = Low  Pearson Residual = -0.046 
 Case Number = 113 
 House Rating = Low  Pearson Residual = -0.59 
 Case Number = 112 
 House Rating = Low  Pearson Residual = 1.0515 
 Case Number = 111 
 House Rating = High  Pearson Residual = 0.5628 
 Case Number = 110 
 House Rating = High  Pearson Residual = -0.102 
 Case Number = 109 
 House Rating = Low  Pearson Residual = 0.3953 
 Case Number = 108 
 House Rating = High  Pearson Residual = 1.7196 
 Case Number = 107 
 House Rating = High  Pearson Residual = -0.37 
 Case Number = 106 
 House Rating = Low  Pearson Residual = -0.019 
 Case Number = 105 
 House Rating = Low  Pearson Residual = -0.228 
 Case Number = 104 
 House Rating = Low  Pearson Residual = -0.207 
 Case Number = 103 
 House Rating = Low  Pearson Residual = -0.414 
 Case Number = 102 
 House Rating = Low  Pearson Residual = -0.071 
 Case Number = 101 
 House Rating = Low  Pearson Residual = -0.078 
 Case Number = 100 
 House Rating = Low  Pearson Residual = -0.054 
 Case Number = 99 
 House Rating = Low  Pearson Residual = 0.4062 
 Case Number = 98 
 House Rating = High  Pearson Residual = 0.322 
 Case Number = 97 
 House Rating = High  Pearson Residual = -0.284 
 Case Number = 96 
 House Rating = Low  Pearson Residual = -0.054 
 Case Number = 95 
 House Rating = Low  Pearson Residual = 0.3918 
 Case Number = 94 
 House Rating = High  Pearson Residual = -0.009 
 Case Number = 93 
 House Rating = Low  Pearson Residual = -0.386 
 Case Number = 92 
 House Rating = Low  Pearson Residual = -0.353 
 Case Number = 91 
 House Rating = Low  Pearson Residual = -0.326 
 Case Number = 90 
 House Rating = Low  Pearson Residual = -0.296 
 Case Number = 89 
 House Rating = Low  Pearson Residual = -0.203 
 Case Number = 88 
 House Rating = Low  Pearson Residual = -0.404 
 Case Number = 87 
 House Rating = Low  Pearson Residual = -0.275 
 Case Number = 86 
 House Rating = Low  Pearson Residual = -0.373 
 Case Number = 85 
 House Rating = Low  Pearson Residual = -0.009 
 Case Number = 84 
 House Rating = Low  Pearson Residual = -0.286 
 Case Number = 83 
 House Rating = Low  Pearson Residual = -0.043 
 Case Number = 82 
 House Rating = Low  Pearson Residual = -0.013 
 Case Number = 81 
 House Rating = Low  Pearson Residual = -0.051 
 Case Number = 80 
 House Rating = Low  Pearson Residual = -0.237 
 Case Number = 79 
 House Rating = Low  Pearson Residual = -0.041 
 Case Number = 78 
 House Rating = Low  Pearson Residual = -0.147 
 Case Number = 77 
 House Rating = Low  Pearson Residual = -0.765 
 Case Number = 76 
 House Rating = Low  Pearson Residual = -0.23 
 Case Number = 75 
 House Rating = Low  Pearson Residual = -1.354 
 Case Number = 74 
 House Rating = Low  Pearson Residual = -0.05 
 Case Number = 73 
 House Rating = Low  Pearson Residual = -0.111 
 Case Number = 72 
 House Rating = Low  Pearson Residual = -0.176 
 Case Number = 71 
 House Rating = Low  Pearson Residual = -0.136 
 Case Number = 70 
 House Rating = Low  Pearson Residual = -0.415 
 Case Number = 69 
 House Rating = Low  Pearson Residual = -0.158 
 Case Number = 68 
 House Rating = Low  Pearson Residual = -0.266 
 Case Number = 67 
 House Rating = Low  Pearson Residual = -3.017 
 Case Number = 66 
 House Rating = Low  Pearson Residual = -0.662 
 Case Number = 65 
 House Rating = Low  Pearson Residual = -0.309 
 Case Number = 64 
 House Rating = Low  Pearson Residual = -0.069 
 Case Number = 63 
 House Rating = Low  Pearson Residual = -0.013 
 Case Number = 62 
 House Rating = Low  Pearson Residual = -1.307 
 Case Number = 61 
 House Rating = Low  Pearson Residual = -0.149 
 Case Number = 60 
 House Rating = Low  Pearson Residual = -0.287 
 Case Number = 59 
 House Rating = Low  Pearson Residual = -0.283 
 Case Number = 58 
 House Rating = Low  Pearson Residual = -0.169 
 Case Number = 57 
 House Rating = Low  Pearson Residual = 0.4434 
 Case Number = 56 
 House Rating = High  Pearson Residual = -0.092 
 Case Number = 55 
 House Rating = Low  Pearson Residual = -0.612 
 Case Number = 54 
 House Rating = Low  Pearson Residual = -0.056 
 Case Number = 53 
 House Rating = Low  Pearson Residual = -0.312 
 Case Number = 52 
 House Rating = Low  Pearson Residual = -0.053 
 Case Number = 51 
 House Rating = Low  Pearson Residual = -0.314 
 Case Number = 50 
 House Rating = Low  Pearson Residual = -0.401 
 Case Number = 49 
 House Rating = Low  Pearson Residual = 3.3727 
 Case Number = 48 
 House Rating = High  Pearson Residual = 0.24 
 Case Number = 47 
 House Rating = High  Pearson Residual = -0.013 
 Case Number = 46 
 House Rating = Low  Pearson Residual = -0.378 
 Case Number = 45 
 House Rating = Low  Pearson Residual = -0.04 
 Case Number = 44 
 House Rating = Low  Pearson Residual = -0.478 
 Case Number = 43 
 House Rating = Low  Pearson Residual = 0.0597 
 Case Number = 42 
 House Rating = High  Pearson Residual = 0.3935 
 Case Number = 41 
 House Rating = High  Pearson Residual = -0.239 
 Case Number = 40 
 House Rating = Low  Pearson Residual = -1.344 
 Case Number = 39 
 House Rating = Low  Pearson Residual = 0.5269 
 Case Number = 38 
 House Rating = High  Pearson Residual = 0 
 Case Number = 37 
 House Rating = High  Pearson Residual = 1.8624 
 Case Number = 36 
 House Rating = High  Pearson Residual = 3E-7 
 Case Number = 35 
 House Rating = High  Pearson Residual = 0.7407 
 Case Number = 34 
 House Rating = High  Pearson Residual = 0.468 
 Case Number = 33 
 House Rating = High  Pearson Residual = 0.4639 
 Case Number = 32 
 House Rating = High  Pearson Residual = 6.7E-6 
 Case Number = 31 
 House Rating = High  Pearson Residual = .00095 
 Case Number = 30 
 House Rating = High  Pearson Residual = 3.098 
 Case Number = 29 
 House Rating = High  Pearson Residual = 0.0012 
 Case Number = 28 
 House Rating = High  Pearson Residual = 7.1E-5 
 Case Number = 27 
 House Rating = High  Pearson Residual = -0.104 
 Case Number = 26 
 House Rating = Low  Pearson Residual = 0.451 
 Case Number = 25 
 House Rating = High  Pearson Residual = 0 
 Case Number = 24 
 House Rating = High  Pearson Residual = 1.5184 
 Case Number = 23 
 House Rating = High  Pearson Residual = 0.2606 
 Case Number = 22 
 House Rating = High  Pearson Residual = 0.7012 
 Case Number = 21 
 House Rating = High  Pearson Residual = -0.073 
 Case Number = 20 
 House Rating = Low  Pearson Residual = 1.0371 
 Case Number = 19 
 House Rating = High  Pearson Residual = -0.099 
 Case Number = 18 
 House Rating = Low  Pearson Residual = .00042 
 Case Number = 17 
 House Rating = High  Pearson Residual = -0.031 
 Case Number = 16 
 House Rating = Low  Pearson Residual = 0 
 Case Number = 15 
 House Rating = High  Pearson Residual = -0.173 
 Case Number = 14 
 House Rating = Low  Pearson Residual = -0.022 
 Case Number = 13 
 House Rating = Low  Pearson Residual = -0.004 
 Case Number = 12 
 House Rating = Low  Pearson Residual = 10.055 
 Case Number = 11 
 House Rating = High  Pearson Residual = -0.002 
 Case Number = 10 
 House Rating = Low  Pearson Residual = -0.194 
 Case Number = 9 
 House Rating = Low  Pearson Residual = -1.096 
 Case Number = 8 
 House Rating = Low  Pearson Residual = 0.2764 
 Case Number = 7 
 House Rating = High  Pearson Residual = 6.1E-5 
 Case Number = 6 
 House Rating = High  Pearson Residual = -0.111 
 Case Number = 5 
 House Rating = Low  Pearson Residual = -0.245 
 Case Number = 4 
 House Rating = Low  Pearson Residual = -0.072 
 Case Number = 3 
 House Rating = Low  Pearson Residual = -0.194 
 Case Number = 2 
 House Rating = Low  Pearson Residual = 1E-8 
 Case Number = 1 
 House Rating = High  Y = 0  Deviance Residual = -0.112 
 Case Number = 203 
 House Rating = Low  Deviance Residual = -0.141 
 Case Number = 202 
 House Rating = Low  Deviance Residual = -0.319 
 Case Number = 201 
 House Rating = Low  Deviance Residual = -0.172 
 Case Number = 200 
 House Rating = Low  Deviance Residual = -0.16 
 Case Number = 199 
 House Rating = Low  Deviance Residual = -0.118 
 Case Number = 198 
 House Rating = Low  Deviance Residual = -0.299 
 Case Number = 197 
 House Rating = Low  Deviance Residual = -25E-5 
 Case Number = 196 
 House Rating = Low  Deviance Residual = -0.235 
 Case Number = 195 
 House Rating = Low  Deviance Residual = -0.108 
 Case Number = 194 
 House Rating = Low  Deviance Residual = -0.321 
 Case Number = 193 
 House Rating = Low  Deviance Residual = -0.423 
 Case Number = 192 
 House Rating = Low  Deviance Residual = -0.186 
 Case Number = 191 
 House Rating = Low  Deviance Residual = 1.0346 
 Case Number = 190 
 House Rating = High  Deviance Residual = -0.042 
 Case Number = 189 
 House Rating = Low  Deviance Residual = -0.107 
 Case Number = 188 
 House Rating = Low  Deviance Residual = -0.496 
 Case Number = 187 
 House Rating = Low  Deviance Residual = -0.185 
 Case Number = 186 
 House Rating = Low  Deviance Residual = 3.2029 
 Case Number = 185 
 House Rating = High  Deviance Residual = -0.429 
 Case Number = 184 
 House Rating = Low  Deviance Residual = -0.107 
 Case Number = 183 
 House Rating = Low  Deviance Residual = -0.946 
 Case Number = 182 
 House Rating = Low  Deviance Residual = -0.131 
 Case Number = 181 
 House Rating = Low  Deviance Residual = -0.116 
 Case Number = 180 
 House Rating = Low  Deviance Residual = -0.339 
 Case Number = 179 
 House Rating = Low  Deviance Residual = -0.457 
 Case Number = 178 
 House Rating = Low  Deviance Residual = -0.174 
 Case Number = 177 
 House Rating = Low  Deviance Residual = -0.124 
 Case Number = 176 
 House Rating = Low  Deviance Residual = -0.017 
 Case Number = 175 
 House Rating = Low  Deviance Residual = -0.104 
 Case Number = 174 
 House Rating = Low  Deviance Residual = -0.606 
 Case Number = 173 
 House Rating = Low  Deviance Residual = -0.347 
 Case Number = 172 
 House Rating = Low  Deviance Residual = -0.436 
 Case Number = 171 
 House Rating = Low  Deviance Residual = -0.255 
 Case Number = 170 
 House Rating = Low  Deviance Residual = -0.143 
 Case Number = 169 
 House Rating = Low  Deviance Residual = -0.143 
 Case Number = 168 
 House Rating = Low  Deviance Residual = -0.145 
 Case Number = 167 
 House Rating = Low  Deviance Residual = -0.015 
 Case Number = 166 
 House Rating = Low  Deviance Residual = -0.087 
 Case Number = 165 
 House Rating = Low  Deviance Residual = -0.293 
 Case Number = 164 
 House Rating = Low  Deviance Residual = -0.251 
 Case Number = 163 
 House Rating = Low  Deviance Residual = -0.161 
 Case Number = 162 
 House Rating = Low  Deviance Residual = -0.028 
 Case Number = 161 
 House Rating = Low  Deviance Residual = -0.245 
 Case Number = 160 
 House Rating = Low  Deviance Residual = -0.172 
 Case Number = 159 
 House Rating = Low  Deviance Residual = -0.402 
 Case Number = 158 
 House Rating = Low  Deviance Residual = -0.246 
 Case Number = 157 
 House Rating = Low  Deviance Residual = -0.178 
 Case Number = 156 
 House Rating = Low  Deviance Residual = -1.083 
 Case Number = 155 
 House Rating = Low  Deviance Residual = -0.097 
 Case Number = 154 
 House Rating = Low  Deviance Residual = -0.1 
 Case Number = 153 
 House Rating = Low  Deviance Residual = -0.025 
 Case Number = 152 
 House Rating = Low  Deviance Residual = -0.098 
 Case Number = 151 
 House Rating = Low  Deviance Residual = -0.134 
 Case Number = 150 
 House Rating = Low  Deviance Residual = -0.146 
 Case Number = 149 
 House Rating = Low  Deviance Residual = -0.108 
 Case Number = 148 
 House Rating = Low  Deviance Residual = -0.176 
 Case Number = 147 
 House Rating = Low  Deviance Residual = -0.137 
 Case Number = 146 
 House Rating = Low  Deviance Residual = -0.043 
 Case Number = 145 
 House Rating = Low  Deviance Residual = -0.008 
 Case Number = 144 
 House Rating = Low  Deviance Residual = -0.508 
 Case Number = 143 
 House Rating = Low  Deviance Residual = -0.095 
 Case Number = 142 
 House Rating = Low  Deviance Residual = -0.147 
 Case Number = 141 
 House Rating = Low  Deviance Residual = -0.002 
 Case Number = 140 
 House Rating = Low  Deviance Residual = -0.03 
 Case Number = 139 
 House Rating = Low  Deviance Residual = -0.12 
 Case Number = 138 
 House Rating = Low  Deviance Residual = -0.557 
 Case Number = 137 
 House Rating = Low  Deviance Residual = 0.4971 
 Case Number = 136 
 House Rating = High  Deviance Residual = -0.115 
 Case Number = 135 
 House Rating = Low  Deviance Residual = -58E-5 
 Case Number = 134 
 House Rating = Low  Deviance Residual = -0.118 
 Case Number = 133 
 House Rating = Low  Deviance Residual = -0.155 
 Case Number = 132 
 House Rating = Low  Deviance Residual = -0.317 
 Case Number = 131 
 House Rating = Low  Deviance Residual = -0.272 
 Case Number = 130 
 House Rating = Low  Deviance Residual = -0.098 
 Case Number = 129 
 House Rating = Low  Deviance Residual = -0.031 
 Case Number = 128 
 House Rating = Low  Deviance Residual = -0.037 
 Case Number = 127 
 House Rating = Low  Deviance Residual = -0.219 
 Case Number = 126 
 House Rating = Low  Deviance Residual = -0.199 
 Case Number = 125 
 House Rating = Low  Deviance Residual = -0.167 
 Case Number = 124 
 House Rating = Low  Deviance Residual = 0.5892 
 Case Number = 123 
 House Rating = High  Deviance Residual = -0.512 
 Case Number = 122 
 House Rating = Low  Deviance Residual = -3E-9 
 Case Number = 121 
 House Rating = Low  Deviance Residual = -0.233 
 Case Number = 120 
 House Rating = Low  Deviance Residual = -0.779 
 Case Number = 119 
 House Rating = Low  Deviance Residual = -0.401 
 Case Number = 118 
 House Rating = Low  Deviance Residual = 0.9678 
 Case Number = 117 
 House Rating = High  Deviance Residual = -0.039 
 Case Number = 116 
 House Rating = Low  Deviance Residual = -0.247 
 Case Number = 115 
 House Rating = Low  Deviance Residual = -0.225 
 Case Number = 114 
 House Rating = Low  Deviance Residual = -0.066 
 Case Number = 113 
 House Rating = Low  Deviance Residual = -0.773 
 Case Number = 112 
 House Rating = Low  Deviance Residual = 1.2204 
 Case Number = 111 
 House Rating = High  Deviance Residual = 0.7418 
 Case Number = 110 
 House Rating = High  Deviance Residual = -0.144 
 Case Number = 109 
 House Rating = Low  Deviance Residual = 0.5389 
 Case Number = 108 
 House Rating = High  Deviance Residual = 1.6586 
 Case Number = 107 
 House Rating = High  Deviance Residual = -0.506 
 Case Number = 106 
 House Rating = Low  Deviance Residual = -0.026 
 Case Number = 105 
 House Rating = Low  Deviance Residual = -0.319 
 Case Number = 104 
 House Rating = Low  Deviance Residual = -0.29 
 Case Number = 103 
 House Rating = Low  Deviance Residual = -0.562 
 Case Number = 102 
 House Rating = Low  Deviance Residual = -0.1 
 Case Number = 101 
 House Rating = Low  Deviance Residual = -0.111 
 Case Number = 100 
 House Rating = Low  Deviance Residual = -0.076 
 Case Number = 99 
 House Rating = Low  Deviance Residual = 0.5527 
 Case Number = 98 
 House Rating = High  Deviance Residual = 0.4441 
 Case Number = 97 
 House Rating = High  Deviance Residual = -0.394 
 Case Number = 96 
 House Rating = Low  Deviance Residual = -0.076 
 Case Number = 95 
 House Rating = Low  Deviance Residual = 0.5344 
 Case Number = 94 
 House Rating = High  Deviance Residual = -0.013 
 Case Number = 93 
 House Rating = Low  Deviance Residual = -0.527 
 Case Number = 92 
 House Rating = Low  Deviance Residual = -0.485 
 Case Number = 91 
 House Rating = Low  Deviance Residual = -0.449 
 Case Number = 90 
 House Rating = Low  Deviance Residual = -0.409 
 Case Number = 89 
 House Rating = Low  Deviance Residual = -0.285 
 Case Number = 88 
 House Rating = Low  Deviance Residual = -0.549 
 Case Number = 87 
 House Rating = Low  Deviance Residual = -0.382 
 Case Number = 86 
 House Rating = Low  Deviance Residual = -0.511 
 Case Number = 85 
 House Rating = Low  Deviance Residual = -0.012 
 Case Number = 84 
 House Rating = Low  Deviance Residual = -0.397 
 Case Number = 83 
 House Rating = Low  Deviance Residual = -0.06 
 Case Number = 82 
 House Rating = Low  Deviance Residual = -0.018 
 Case Number = 81 
 House Rating = Low  Deviance Residual = -0.072 
 Case Number = 80 
 House Rating = Low  Deviance Residual = -0.331 
 Case Number = 79 
 House Rating = Low  Deviance Residual = -0.058 
 Case Number = 78 
 House Rating = Low  Deviance Residual = -0.207 
 Case Number = 77 
 House Rating = Low  Deviance Residual = -0.96 
 Case Number = 76 
 House Rating = Low  Deviance Residual = -0.322 
 Case Number = 75 
 House Rating = Low  Deviance Residual = -1.443 
 Case Number = 74 
 House Rating = Low  Deviance Residual = -0.071 
 Case Number = 73 
 House Rating = Low  Deviance Residual = -0.157 
 Case Number = 72 
 House Rating = Low  Deviance Residual = -0.248 
 Case Number = 71 
 House Rating = Low  Deviance Residual = -0.192 
 Case Number = 70 
 House Rating = Low  Deviance Residual = -0.564 
 Case Number = 69 
 House Rating = Low  Deviance Residual = -0.223 
 Case Number = 68 
 House Rating = Low  Deviance Residual = -0.37 
 Case Number = 67 
 House Rating = Low  Deviance Residual = -2.151 
 Case Number = 66 
 House Rating = Low  Deviance Residual = -0.853 
 Case Number = 65 
 House Rating = Low  Deviance Residual = -0.428 
 Case Number = 64 
 House Rating = Low  Deviance Residual = -0.098 
 Case Number = 63 
 House Rating = Low  Deviance Residual = -0.018 
 Case Number = 62 
 House Rating = Low  Deviance Residual = -1.412 
 Case Number = 61 
 House Rating = Low  Deviance Residual = -0.21 
 Case Number = 60 
 House Rating = Low  Deviance Residual = -0.398 
 Case Number = 59 
 House Rating = Low  Deviance Residual = -0.393 
 Case Number = 58 
 House Rating = Low  Deviance Residual = -0.237 
 Case Number = 57 
 House Rating = Low  Deviance Residual = 0.5991 
 Case Number = 56 
 House Rating = High  Deviance Residual = -0.13 
 Case Number = 55 
 House Rating = Low  Deviance Residual = -0.798 
 Case Number = 54 
 House Rating = Low  Deviance Residual = -0.079 
 Case Number = 53 
 House Rating = Low  Deviance Residual = -0.431 
 Case Number = 52 
 House Rating = Low  Deviance Residual = -0.074 
 Case Number = 51 
 House Rating = Low  Deviance Residual = -0.434 
 Case Number = 50 
 House Rating = Low  Deviance Residual = -0.547 
 Case Number = 49 
 House Rating = Low  Deviance Residual = 2.2431 
 Case Number = 48 
 House Rating = High  Deviance Residual = 0.3347 
 Case Number = 47 
 House Rating = High  Deviance Residual = -0.018 
 Case Number = 46 
 House Rating = Low  Deviance Residual = -0.516 
 Case Number = 45 
 House Rating = Low  Deviance Residual = -0.056 
 Case Number = 44 
 House Rating = Low  Deviance Residual = -0.642 
 Case Number = 43 
 House Rating = Low  Deviance Residual = 0.0844 
 Case Number = 42 
 House Rating = High  Deviance Residual = 0.5366 
 Case Number = 41 
 House Rating = High  Deviance Residual = -0.334 
 Case Number = 40 
 House Rating = Low  Deviance Residual = -1.436 
 Case Number = 39 
 House Rating = Low  Deviance Residual = 0.7 
 Case Number = 38 
 House Rating = High  Deviance Residual = 28E-12 
 Case Number = 37 
 House Rating = High  Deviance Residual = 1.7304 
 Case Number = 36 
 House Rating = High  Deviance Residual = 4.2E-7 
 Case Number = 35 
 House Rating = High  Deviance Residual = 0.9353 
 Case Number = 34 
 House Rating = High  Deviance Residual = 0.6294 
 Case Number = 33 
 House Rating = High  Deviance Residual = 0.6244 
 Case Number = 32 
 House Rating = High  Deviance Residual = 9.5E-6 
 Case Number = 31 
 House Rating = High  Deviance Residual = 0.0013 
 Case Number = 30 
 House Rating = High  Deviance Residual = 2.1728 
 Case Number = 29 
 House Rating = High  Deviance Residual = 0.0017 
 Case Number = 28 
 House Rating = High  Deviance Residual = 0.0001 
 Case Number = 27 
 House Rating = High  Deviance Residual = -0.147 
 Case Number = 26 
 House Rating = Low  Deviance Residual = 0.6085 
 Case Number = 25 
 House Rating = High  Deviance Residual = 94E-13 
 Case Number = 24 
 House Rating = High  Deviance Residual = 1.5463 
 Case Number = 23 
 House Rating = High  Deviance Residual = 0.3625 
 Case Number = 22 
 House Rating = High  Deviance Residual = 0.8943 
 Case Number = 21 
 House Rating = High  Deviance Residual = -0.103 
 Case Number = 20 
 House Rating = Low  Deviance Residual = 1.2085 
 Case Number = 19 
 House Rating = High  Deviance Residual = -0.139 
 Case Number = 18 
 House Rating = Low  Deviance Residual = .00059 
 Case Number = 17 
 House Rating = High  Deviance Residual = -0.044 
 Case Number = 16 
 House Rating = Low  Deviance Residual = 33E-35 
 Case Number = 15 
 House Rating = High  Deviance Residual = -0.243 
 Case Number = 14 
 House Rating = Low  Deviance Residual = -0.031 
 Case Number = 13 
 House Rating = Low  Deviance Residual = -0.006 
 Case Number = 12 
 House Rating = Low  Deviance Residual = 3.0417 
 Case Number = 11 
 House Rating = High  Deviance Residual = -0.002 
 Case Number = 10 
 House Rating = Low  Deviance Residual = -0.272 
 Case Number = 9 
 House Rating = Low  Deviance Residual = -1.256 
 Case Number = 8 
 House Rating = Low  Deviance Residual = 0.3838 
 Case Number = 7 
 House Rating = High  Deviance Residual = 8.7E-5 
 Case Number = 6 
 House Rating = High  Deviance Residual = -0.156 
 Case Number = 5 
 House Rating = Low  Deviance Residual = -0.342 
 Case Number = 4 
 House Rating = Low  Deviance Residual = -0.101 
 Case Number = 3 
 House Rating = Low  Deviance Residual = -0.272 
 Case Number = 2 
 House Rating = Low  Deviance Residual = 1.5E-8 
 Case Number = 1 
 House Rating = High  Y = 0  Hat Matrix Diagonal = 0.0048 
 Case Number = 203 
 House Rating = Low  Hat Matrix Diagonal = 0.0062 
 Case Number = 202 
 House Rating = Low  Hat Matrix Diagonal = 0.0132 
 Case Number = 201 
 House Rating = Low  Hat Matrix Diagonal = 0.0454 
 Case Number = 200 
 House Rating = Low  Hat Matrix Diagonal = 0.0071 
 Case Number = 199 
 House Rating = Low  Hat Matrix Diagonal = 0.005 
 Case Number = 198 
 House Rating = Low  Hat Matrix Diagonal = 0.0125 
 Case Number = 197 
 House Rating = Low  Hat Matrix Diagonal = 1.5E-6 
 Case Number = 196 
 House Rating = Low  Hat Matrix Diagonal = 0.0102 
 Case Number = 195 
 House Rating = Low  Hat Matrix Diagonal = 0.0046 
 Case Number = 194 
 House Rating = Low  Hat Matrix Diagonal = 0.0133 
 Case Number = 193 
 House Rating = Low  Hat Matrix Diagonal = 0.0163 
 Case Number = 192 
 House Rating = Low  Hat Matrix Diagonal = 0.0082 
 Case Number = 191 
 House Rating = Low  Hat Matrix Diagonal = 0.7597 
 Case Number = 190 
 House Rating = High  Hat Matrix Diagonal = 0.0028 
 Case Number = 189 
 House Rating = Low  Hat Matrix Diagonal = 0.1927 
 Case Number = 188 
 House Rating = Low  Hat Matrix Diagonal = 0.0183 
 Case Number = 187 
 House Rating = Low  Hat Matrix Diagonal = 0.0082 
 Case Number = 186 
 House Rating = Low  Hat Matrix Diagonal = 0.0046 
 Case Number = 185 
 House Rating = High  Hat Matrix Diagonal = 0.0164 
 Case Number = 184 
 House Rating = Low  Hat Matrix Diagonal = 0.0045 
 Case Number = 183 
 House Rating = Low  Hat Matrix Diagonal = 0.3884 
 Case Number = 182 
 House Rating = Low  Hat Matrix Diagonal = 0.0057 
 Case Number = 181 
 House Rating = Low  Hat Matrix Diagonal = 0.005 
 Case Number = 180 
 House Rating = Low  Hat Matrix Diagonal = 0.0138 
 Case Number = 179 
 House Rating = Low  Hat Matrix Diagonal = 0.1506 
 Case Number = 178 
 House Rating = Low  Hat Matrix Diagonal = 0.0077 
 Case Number = 177 
 House Rating = Low  Hat Matrix Diagonal = 0.0053 
 Case Number = 176 
 House Rating = Low  Hat Matrix Diagonal = .00069 
 Case Number = 175 
 House Rating = Low  Hat Matrix Diagonal = 0.0044 
 Case Number = 174 
 House Rating = Low  Hat Matrix Diagonal = 0.3272 
 Case Number = 173 
 House Rating = Low  Hat Matrix Diagonal = 0.0141 
 Case Number = 172 
 House Rating = Low  Hat Matrix Diagonal = 0.0166 
 Case Number = 171 
 House Rating = Low  Hat Matrix Diagonal = 0.011 
 Case Number = 170 
 House Rating = Low  Hat Matrix Diagonal = 0.0063 
 Case Number = 169 
 House Rating = Low  Hat Matrix Diagonal = 0.0063 
 Case Number = 168 
 House Rating = Low  Hat Matrix Diagonal = 0.0063 
 Case Number = 167 
 House Rating = Low  Hat Matrix Diagonal = 0.0011 
 Case Number = 166 
 House Rating = Low  Hat Matrix Diagonal = 0.0141 
 Case Number = 165 
 House Rating = Low  Hat Matrix Diagonal = 0.0124 
 Case Number = 164 
 House Rating = Low  Hat Matrix Diagonal = 0.0108 
 Case Number = 163 
 House Rating = Low  Hat Matrix Diagonal = 0.0071 
 Case Number = 162 
 House Rating = Low  Hat Matrix Diagonal = 0.002 
 Case Number = 161 
 House Rating = Low  Hat Matrix Diagonal = 0.0106 
 Case Number = 160 
 House Rating = Low  Hat Matrix Diagonal = 0.0076 
 Case Number = 159 
 House Rating = Low  Hat Matrix Diagonal = 0.0157 
 Case Number = 158 
 House Rating = Low  Hat Matrix Diagonal = 0.0107 
 Case Number = 157 
 House Rating = Low  Hat Matrix Diagonal = 0.0761 
 Case Number = 156 
 House Rating = Low  Hat Matrix Diagonal = 0.0424 
 Case Number = 155 
 House Rating = Low  Hat Matrix Diagonal = 0.004 
 Case Number = 154 
 House Rating = Low  Hat Matrix Diagonal = 0.0042 
 Case Number = 153 
 House Rating = Low  Hat Matrix Diagonal = 0.0016 
 Case Number = 152 
 House Rating = Low  Hat Matrix Diagonal = 0.0041 
 Case Number = 151 
 House Rating = Low  Hat Matrix Diagonal = 0.0058 
 Case Number = 150 
 House Rating = Low  Hat Matrix Diagonal = 0.0064 
 Case Number = 149 
 House Rating = Low  Hat Matrix Diagonal = 0.0045 
 Case Number = 148 
 House Rating = Low  Hat Matrix Diagonal = 0.0078 
 Case Number = 147 
 House Rating = Low  Hat Matrix Diagonal = 0.006 
 Case Number = 146 
 House Rating = Low  Hat Matrix Diagonal = 0.0049 
 Case Number = 145 
 House Rating = Low  Hat Matrix Diagonal = .00089 
 Case Number = 144 
 House Rating = Low  Hat Matrix Diagonal = 0.2116 
 Case Number = 143 
 House Rating = Low  Hat Matrix Diagonal = 0.0039 
 Case Number = 142 
 House Rating = Low  Hat Matrix Diagonal = 0.0065 
 Case Number = 141 
 House Rating = Low  Hat Matrix Diagonal = .00029 
 Case Number = 140 
 House Rating = Low  Hat Matrix Diagonal = 0.0026 
 Case Number = 139 
 House Rating = Low  Hat Matrix Diagonal = 0.0051 
 Case Number = 138 
 House Rating = Low  Hat Matrix Diagonal = 0.1639 
 Case Number = 137 
 House Rating = Low  Hat Matrix Diagonal = 0.5449 
 Case Number = 136 
 House Rating = High  Hat Matrix Diagonal = 0.0049 
 Case Number = 135 
 House Rating = Low  Hat Matrix Diagonal = 7.6E-6 
 Case Number = 134 
 House Rating = Low  Hat Matrix Diagonal = 0.0051 
 Case Number = 133 
 House Rating = Low  Hat Matrix Diagonal = 0.0068 
 Case Number = 132 
 House Rating = Low  Hat Matrix Diagonal = 0.0131 
 Case Number = 131 
 House Rating = Low  Hat Matrix Diagonal = 0.0116 
 Case Number = 130 
 House Rating = Low  Hat Matrix Diagonal = 0.0041 
 Case Number = 129 
 House Rating = Low  Hat Matrix Diagonal = 0.0033 
 Case Number = 128 
 House Rating = Low  Hat Matrix Diagonal = 0.0052 
 Case Number = 127 
 House Rating = Low  Hat Matrix Diagonal = 0.0096 
 Case Number = 126 
 House Rating = Low  Hat Matrix Diagonal = 0.0088 
 Case Number = 125 
 House Rating = Low  Hat Matrix Diagonal = 0.0074 
 Case Number = 124 
 House Rating = Low  Hat Matrix Diagonal = 0.0588 
 Case Number = 123 
 House Rating = High  Hat Matrix Diagonal = 0.0187 
 Case Number = 122 
 House Rating = Low  Hat Matrix Diagonal = 18E-16 
 Case Number = 121 
 House Rating = Low  Hat Matrix Diagonal = 0.0545 
 Case Number = 120 
 House Rating = Low  Hat Matrix Diagonal = 0.0277 
 Case Number = 119 
 House Rating = Low  Hat Matrix Diagonal = 0.0157 
 Case Number = 118 
 House Rating = Low  Hat Matrix Diagonal = 0.8856 
 Case Number = 117 
 House Rating = High  Hat Matrix Diagonal = 0.0033 
 Case Number = 116 
 House Rating = Low  Hat Matrix Diagonal = 0.0107 
 Case Number = 115 
 House Rating = Low  Hat Matrix Diagonal = 0.0098 
 Case Number = 114 
 House Rating = Low  Hat Matrix Diagonal = 0.0093 
 Case Number = 113 
 House Rating = Low  Hat Matrix Diagonal = 0.2014 
 Case Number = 112 
 House Rating = Low  Hat Matrix Diagonal = 0.6102 
 Case Number = 111 
 House Rating = High  Hat Matrix Diagonal = 0.0619 
 Case Number = 110 
 House Rating = High  Hat Matrix Diagonal = 0.0202 
 Case Number = 109 
 House Rating = Low  Hat Matrix Diagonal = 0.0563 
 Case Number = 108 
 House Rating = High  Hat Matrix Diagonal = 0.027 
 Case Number = 107 
 House Rating = High  Hat Matrix Diagonal = 0.0186 
 Case Number = 106 
 House Rating = Low  Hat Matrix Diagonal = 0.0018 
 Case Number = 105 
 House Rating = Low  Hat Matrix Diagonal = 0.0132 
 Case Number = 104 
 House Rating = Low  Hat Matrix Diagonal = 0.071 
 Case Number = 103 
 House Rating = Low  Hat Matrix Diagonal = 0.176 
 Case Number = 102 
 House Rating = Low  Hat Matrix Diagonal = 0.0224 
 Case Number = 101 
 House Rating = Low  Hat Matrix Diagonal = 0.0184 
 Case Number = 100 
 House Rating = Low  Hat Matrix Diagonal = 0.0122 
 Case Number = 99 
 House Rating = Low  Hat Matrix Diagonal = 0.0571 
 Case Number = 98 
 House Rating = High  Hat Matrix Diagonal = 0.8979 
 Case Number = 97 
 House Rating = High  Hat Matrix Diagonal = 0.0155 
 Case Number = 96 
 House Rating = Low  Hat Matrix Diagonal = 0.0065 
 Case Number = 95 
 House Rating = Low  Hat Matrix Diagonal = 0.0561 
 Case Number = 94 
 House Rating = High  Hat Matrix Diagonal = .00052 
 Case Number = 93 
 House Rating = Low  Hat Matrix Diagonal = 0.0191 
 Case Number = 92 
 House Rating = Low  Hat Matrix Diagonal = 0.018 
 Case Number = 91 
 House Rating = Low  Hat Matrix Diagonal = 0.017 
 Case Number = 90 
 House Rating = Low  Hat Matrix Diagonal = 0.0159 
 Case Number = 89 
 House Rating = Low  Hat Matrix Diagonal = 0.0121 
 Case Number = 88 
 House Rating = Low  Hat Matrix Diagonal = 0.121 
 Case Number = 87 
 House Rating = Low  Hat Matrix Diagonal = 0.0151 
 Case Number = 86 
 House Rating = Low  Hat Matrix Diagonal = 0.0187 
 Case Number = 85 
 House Rating = Low  Hat Matrix Diagonal = .00049 
 Case Number = 84 
 House Rating = Low  Hat Matrix Diagonal = 0.0155 
 Case Number = 83 
 House Rating = Low  Hat Matrix Diagonal = 0.0057 
 Case Number = 82 
 House Rating = Low  Hat Matrix Diagonal = 0.001 
 Case Number = 81 
 House Rating = Low  Hat Matrix Diagonal = 0.01 
 Case Number = 80 
 House Rating = Low  Hat Matrix Diagonal = 0.138 
 Case Number = 79 
 House Rating = Low  Hat Matrix Diagonal = 0.0073 
 Case Number = 78 
 House Rating = Low  Hat Matrix Diagonal = 0.0682 
 Case Number = 77 
 House Rating = Low  Hat Matrix Diagonal = 0.0361 
 Case Number = 76 
 House Rating = Low  Hat Matrix Diagonal = 0.0914 
 Case Number = 75 
 House Rating = Low  Hat Matrix Diagonal = 0.0583 
 Case Number = 74 
 House Rating = Low  Hat Matrix Diagonal = 0.009 
 Case Number = 73 
 House Rating = Low  Hat Matrix Diagonal = 0.0298 
 Case Number = 72 
 House Rating = Low  Hat Matrix Diagonal = 0.0107 
 Case Number = 71 
 House Rating = Low  Hat Matrix Diagonal = 0.0594 
 Case Number = 70 
 House Rating = Low  Hat Matrix Diagonal = 0.1273 
 Case Number = 69 
 House Rating = Low  Hat Matrix Diagonal = 0.0098 
 Case Number = 68 
 House Rating = Low  Hat Matrix Diagonal = 0.0148 
 Case Number = 67 
 House Rating = Low  Hat Matrix Diagonal = 0.1195 
 Case Number = 66 
 House Rating = Low  Hat Matrix Diagonal = 0.0309 
 Case Number = 65 
 House Rating = Low  Hat Matrix Diagonal = 0.0164 
 Case Number = 64 
 House Rating = Low  Hat Matrix Diagonal = 0.0177 
 Case Number = 63 
 House Rating = Low  Hat Matrix Diagonal = .00093 
 Case Number = 62 
 House Rating = Low  Hat Matrix Diagonal = 0.3949 
 Case Number = 61 
 House Rating = Low  Hat Matrix Diagonal = 0.0092 
 Case Number = 60 
 House Rating = Low  Hat Matrix Diagonal = 0.0156 
 Case Number = 59 
 House Rating = Low  Hat Matrix Diagonal = 0.0154 
 Case Number = 58 
 House Rating = Low  Hat Matrix Diagonal = 0.0103 
 Case Number = 57 
 House Rating = Low  Hat Matrix Diagonal = 0.0592 
 Case Number = 56 
 House Rating = High  Hat Matrix Diagonal = 0.0056 
 Case Number = 55 
 House Rating = Low  Hat Matrix Diagonal = 0.0285 
 Case Number = 54 
 House Rating = Low  Hat Matrix Diagonal = 0.791 
 Case Number = 53 
 House Rating = Low  Hat Matrix Diagonal = 0.0165 
 Case Number = 52 
 House Rating = Low  Hat Matrix Diagonal = 0.0154 
 Case Number = 51 
 House Rating = Low  Hat Matrix Diagonal = 0.0166 
 Case Number = 50 
 House Rating = Low  Hat Matrix Diagonal = 0.7245 
 Case Number = 49 
 House Rating = Low  Hat Matrix Diagonal = 0.1528 
 Case Number = 48 
 House Rating = High  Hat Matrix Diagonal = 0.2492 
 Case Number = 47 
 House Rating = High  Hat Matrix Diagonal = 0.0018 
 Case Number = 46 
 House Rating = Low  Hat Matrix Diagonal = 0.0188 
 Case Number = 45 
 House Rating = Low  Hat Matrix Diagonal = 0.0061 
 Case Number = 44 
 House Rating = Low  Hat Matrix Diagonal = 0.6736 
 Case Number = 43 
 House Rating = Low  Hat Matrix Diagonal = 0.0221 
 Case Number = 42 
 House Rating = High  Hat Matrix Diagonal = 0.2738 
 Case Number = 41 
 House Rating = High  Hat Matrix Diagonal = 0.0137 
 Case Number = 40 
 House Rating = Low  Hat Matrix Diagonal = 0.5061 
 Case Number = 39 
 House Rating = Low  Hat Matrix Diagonal = 0.2659 
 Case Number = 38 
 House Rating = High  Hat Matrix Diagonal = 12E-20 
 Case Number = 37 
 House Rating = High  Hat Matrix Diagonal = 0.1671 
 Case Number = 36 
 House Rating = High  Hat Matrix Diagonal = 84E-13 
 Case Number = 35 
 House Rating = High  Hat Matrix Diagonal = 0.0582 
 Case Number = 34 
 House Rating = High  Hat Matrix Diagonal = 0.4768 
 Case Number = 33 
 House Rating = High  Hat Matrix Diagonal = 0.0601 
 Case Number = 32 
 House Rating = High  Hat Matrix Diagonal = 3.7E-9 
 Case Number = 31 
 House Rating = High  Hat Matrix Diagonal = 4.3E-5 
 Case Number = 30 
 House Rating = High  Hat Matrix Diagonal = 0.0169 
 Case Number = 29 
 House Rating = High  Hat Matrix Diagonal = .00013 
 Case Number = 28 
 House Rating = High  Hat Matrix Diagonal = 4.5E-7 
 Case Number = 27 
 House Rating = High  Hat Matrix Diagonal = 0.0064 
 Case Number = 26 
 House Rating = Low  Hat Matrix Diagonal = 0.1691 
 Case Number = 25 
 House Rating = High  Hat Matrix Diagonal = 15E-21 
 Case Number = 24 
 House Rating = High  Hat Matrix Diagonal = 0.5038 
 Case Number = 23 
 House Rating = High  Hat Matrix Diagonal = 0.1727 
 Case Number = 22 
 House Rating = High  Hat Matrix Diagonal = 0.3877 
 Case Number = 21 
 House Rating = High  Hat Matrix Diagonal = 0.0302 
 Case Number = 20 
 House Rating = Low  Hat Matrix Diagonal = 0.4947 
 Case Number = 19 
 House Rating = High  Hat Matrix Diagonal = 0.0061 
 Case Number = 18 
 House Rating = Low  Hat Matrix Diagonal = 5.8E-6 
 Case Number = 17 
 House Rating = High  Hat Matrix Diagonal = 0.0086 
 Case Number = 16 
 House Rating = Low  Hat Matrix Diagonal = 15E-65 
 Case Number = 15 
 House Rating = High  Hat Matrix Diagonal = 0.0106 
 Case Number = 14 
 House Rating = Low  Hat Matrix Diagonal = 0.0028 
 Case Number = 13 
 House Rating = Low  Hat Matrix Diagonal = 0.0007 
 Case Number = 12 
 House Rating = Low  Hat Matrix Diagonal = 0.0061 
 Case Number = 11 
 House Rating = High  Hat Matrix Diagonal = 7.5E-5 
 Case Number = 10 
 House Rating = Low  Hat Matrix Diagonal = 0.2044 
 Case Number = 9 
 House Rating = Low  Hat Matrix Diagonal = 0.7164 
 Case Number = 8 
 House Rating = Low  Hat Matrix Diagonal = 0.2063 
 Case Number = 7 
 House Rating = High  Hat Matrix Diagonal = 1.4E-7 
 Case Number = 6 
 House Rating = High  Hat Matrix Diagonal = 0.0069 
 Case Number = 5 
 House Rating = Low  Hat Matrix Diagonal = 0.0139 
 Case Number = 4 
 House Rating = Low  Hat Matrix Diagonal = 0.0188 
 Case Number = 3 
 House Rating = Low  Hat Matrix Diagonal = 0.0116 
 Case Number = 2 
 House Rating = Low  Hat Matrix Diagonal = 16E-15 
 Case Number = 1 
 House Rating = High  CI Displacements C = .00003 
 Case Number = 203 
 House Rating = Low  CI Displacements C = 6.2E-5 
 Case Number = 202 
 House Rating = Low  CI Displacements C = .00071 
 Case Number = 201 
 House Rating = Low  CI Displacements C = .00075 
 Case Number = 200 
 House Rating = Low  CI Displacements C = 9.2E-5 
 Case Number = 199 
 House Rating = Low  CI Displacements C = 3.6E-5 
 Case Number = 198 
 House Rating = Low  CI Displacements C = .00059 
 Case Number = 197 
 House Rating = Low  CI Displacements C = 48E-15 
 Case Number = 196 
 House Rating = Low  CI Displacements C = .00029 
 Case Number = 195 
 House Rating = Low  CI Displacements C = 2.7E-5 
 Case Number = 194 
 House Rating = Low  CI Displacements C = .00072 
 Case Number = 193 
 House Rating = Low  CI Displacements C = 0.0016 
 Case Number = 192 
 House Rating = Low  CI Displacements C = .00015 
 Case Number = 191 
 House Rating = Low  CI Displacements C = 9.3103 
 Case Number = 190 
 House Rating = High  CI Displacements C = 2.5E-6 
 Case Number = 189 
 House Rating = Low  CI Displacements C = 0.0017 
 Case Number = 188 
 House Rating = Low  CI Displacements C = 0.0025 
 Case Number = 187 
 House Rating = Low  CI Displacements C = .00014 
 Case Number = 186 
 House Rating = Low  CI Displacements C = 0.7812 
 Case Number = 185 
 House Rating = High  CI Displacements C = 0.0016 
 Case Number = 184 
 House Rating = Low  CI Displacements C = 2.6E-5 
 Case Number = 183 
 House Rating = Low  CI Displacements C = 0.5854 
 Case Number = 182 
 House Rating = Low  CI Displacements C = 4.9E-5 
 Case Number = 181 
 House Rating = Low  CI Displacements C = 3.4E-5 
 Case Number = 180 
 House Rating = Low  CI Displacements C = .00084 
 Case Number = 179 
 House Rating = Low  CI Displacements C = 0.023 
 Case Number = 178 
 House Rating = Low  CI Displacements C = .00012 
 Case Number = 177 
 House Rating = Low  CI Displacements C = 4.1E-5 
 Case Number = 176 
 House Rating = Low  CI Displacements C = 9.5E-8 
 Case Number = 175 
 House Rating = Low  CI Displacements C = 2.4E-5 
 Case Number = 174 
 House Rating = Low  CI Displacements C = 0.1458 
 Case Number = 173 
 House Rating = Low  CI Displacements C = 0.0009 
 Case Number = 172 
 House Rating = Low  CI Displacements C = 0.0017 
 Case Number = 171 
 House Rating = Low  CI Displacements C = .00037 
 Case Number = 170 
 House Rating = Low  CI Displacements C = 6.6E-5 
 Case Number = 169 
 House Rating = Low  CI Displacements C = 6.5E-5 
 Case Number = 168 
 House Rating = Low  CI Displacements C = 6.7E-5 
 Case Number = 167 
 House Rating = Low  CI Displacements C = 1.1E-7 
 Case Number = 166 
 House Rating = Low  CI Displacements C = 5.4E-5 
 Case Number = 165 
 House Rating = Low  CI Displacements C = .00056 
 Case Number = 164 
 House Rating = Low  CI Displacements C = .00035 
 Case Number = 163 
 House Rating = Low  CI Displacements C = 9.3E-5 
 Case Number = 162 
 House Rating = Low  CI Displacements C = 7.8E-7 
 Case Number = 161 
 House Rating = Low  CI Displacements C = .00033 
 Case Number = 160 
 House Rating = Low  CI Displacements C = .00012 
 Case Number = 159 
 House Rating = Low  CI Displacements C = 0.0014 
 Case Number = 158 
 House Rating = Low  CI Displacements C = .00034 
 Case Number = 157 
 House Rating = Low  CI Displacements C = 0.0014 
 Case Number = 156 
 House Rating = Low  CI Displacements C = 0.0369 
 Case Number = 155 
 House Rating = Low  CI Displacements C = 1.9E-5 
 Case Number = 154 
 House Rating = Low  CI Displacements C = 2.1E-5 
 Case Number = 153 
 House Rating = Low  CI Displacements C = 5E-7 
 Case Number = 152 
 House Rating = Low  CI Displacements C = .00002 
 Case Number = 151 
 House Rating = Low  CI Displacements C = 5.3E-5 
 Case Number = 150 
 House Rating = Low  CI Displacements C = 6.9E-5 
 Case Number = 149 
 House Rating = Low  CI Displacements C = 2.7E-5 
 Case Number = 148 
 House Rating = Low  CI Displacements C = .00012 
 Case Number = 147 
 House Rating = Low  CI Displacements C = 5.8E-5 
 Case Number = 146 
 House Rating = Low  CI Displacements C = 4.5E-6 
 Case Number = 145 
 House Rating = Low  CI Displacements C = 2.7E-8 
 Case Number = 144 
 House Rating = Low  CI Displacements C = 0.0469 
 Case Number = 143 
 House Rating = Low  CI Displacements C = 1.8E-5 
 Case Number = 142 
 House Rating = Low  CI Displacements C = 7.1E-5 
 Case Number = 141 
 House Rating = Low  CI Displacements C = 62E-11 
 Case Number = 140 
 House Rating = Low  CI Displacements C = 1.2E-6 
 Case Number = 139 
 House Rating = Low  CI Displacements C = 3.7E-5 
 Case Number = 138 
 House Rating = Low  CI Displacements C = 0.0393 
 Case Number = 137 
 House Rating = Low  CI Displacements C = 0.346 
 Case Number = 136 
 House Rating = High  CI Displacements C = 3.3E-5 
 Case Number = 135 
 House Rating = Low  CI Displacements C = 13E-13 
 Case Number = 134 
 House Rating = Low  CI Displacements C = 3.6E-5 
 Case Number = 133 
 House Rating = Low  CI Displacements C = 8.4E-5 
 Case Number = 132 
 House Rating = Low  CI Displacements C = .00069 
 Case Number = 131 
 House Rating = Low  CI Displacements C = .00045 
 Case Number = 130 
 House Rating = Low  CI Displacements C = .00002 
 Case Number = 129 
 House Rating = Low  CI Displacements C = 1.6E-6 
 Case Number = 128 
 House Rating = Low  CI Displacements C = 3.6E-6 
 Case Number = 127 
 House Rating = Low  CI Displacements C = .00024 
 Case Number = 126 
 House Rating = Low  CI Displacements C = .00018 
 Case Number = 125 
 House Rating = Low  CI Displacements C = .00011 
 Case Number = 124 
 House Rating = Low  CI Displacements C = 0.0126 
 Case Number = 123 
 House Rating = High  CI Displacements C = 0.0027 
 Case Number = 122 
 House Rating = Low  CI Displacements C = 85E-34 
 Case Number = 121 
 House Rating = Low  CI Displacements C = 0.0017 
 Case Number = 120 
 House Rating = Low  CI Displacements C = 0.0104 
 Case Number = 119 
 House Rating = Low  CI Displacements C = 0.0014 
 Case Number = 118 
 House Rating = Low  CI Displacements C = 40.44 
 Case Number = 117 
 House Rating = High  CI Displacements C = 2.5E-6 
 Case Number = 116 
 House Rating = Low  CI Displacements C = .00034 
 Case Number = 115 
 House Rating = Low  CI Displacements C = .00026 
 Case Number = 114 
 House Rating = Low  CI Displacements C = .00002 
 Case Number = 113 
 House Rating = Low  CI Displacements C = 0.1099 
 Case Number = 112 
 House Rating = Low  CI Displacements C = 4.4415 
 Case Number = 111 
 House Rating = High  CI Displacements C = 0.0223 
 Case Number = 110 
 House Rating = High  CI Displacements C = .00022 
 Case Number = 109 
 House Rating = Low  CI Displacements C = 0.0099 
 Case Number = 108 
 House Rating = High  CI Displacements C = 0.0845 
 Case Number = 107 
 House Rating = High  CI Displacements C = 0.0026 
 Case Number = 106 
 House Rating = Low  CI Displacements C = 6.4E-7 
 Case Number = 105 
 House Rating = Low  CI Displacements C = .00071 
 Case Number = 104 
 House Rating = Low  CI Displacements C = 0.0035 
 Case Number = 103 
 House Rating = Low  CI Displacements C = 0.0444 
 Case Number = 102 
 House Rating = Low  CI Displacements C = .00012 
 Case Number = 101 
 House Rating = Low  CI Displacements C = .00012 
 Case Number = 100 
 House Rating = Low  CI Displacements C = 3.6E-5 
 Case Number = 99 
 House Rating = Low  CI Displacements C = 0.0106 
 Case Number = 98 
 House Rating = High  CI Displacements C = 8.9374 
 Case Number = 97 
 House Rating = High  CI Displacements C = 0.0013 
 Case Number = 96 
 House Rating = Low  CI Displacements C = 1.9E-5 
 Case Number = 95 
 House Rating = Low  CI Displacements C = 0.0097 
 Case Number = 94 
 House Rating = High  CI Displacements C = 4.6E-8 
 Case Number = 93 
 House Rating = Low  CI Displacements C = 0.003 
 Case Number = 92 
 House Rating = Low  CI Displacements C = 0.0023 
 Case Number = 91 
 House Rating = Low  CI Displacements C = 0.0019 
 Case Number = 90 
 House Rating = Low  CI Displacements C = 0.0014 
 Case Number = 89 
 House Rating = Low  CI Displacements C = .00051 
 Case Number = 88 
 House Rating = Low  CI Displacements C = 0.0255 
 Case Number = 87 
 House Rating = Low  CI Displacements C = 0.0012 
 Case Number = 86 
 House Rating = Low  CI Displacements C = 0.0027 
 Case Number = 85 
 House Rating = Low  CI Displacements C = 3.7E-8 
 Case Number = 84 
 House Rating = Low  CI Displacements C = 0.0013 
 Case Number = 83 
 House Rating = Low  CI Displacements C = 1.1E-5 
 Case Number = 82 
 House Rating = Low  CI Displacements C = 1.6E-7 
 Case Number = 81 
 House Rating = Low  CI Displacements C = 2.7E-5 
 Case Number = 80 
 House Rating = Low  CI Displacements C = 0.0104 
 Case Number = 79 
 House Rating = Low  CI Displacements C = 1.2E-5 
 Case Number = 78 
 House Rating = Low  CI Displacements C = 0.0017 
 Case Number = 77 
 House Rating = Low  CI Displacements C = 0.0228 
 Case Number = 76 
 House Rating = Low  CI Displacements C = 0.0059 
 Case Number = 75 
 House Rating = Low  CI Displacements C = 0.1205 
 Case Number = 74 
 House Rating = Low  CI Displacements C = 2.3E-5 
 Case Number = 73 
 House Rating = Low  CI Displacements C = .00039 
 Case Number = 72 
 House Rating = Low  CI Displacements C = .00034 
 Case Number = 71 
 House Rating = Low  CI Displacements C = 0.0012 
 Case Number = 70 
 House Rating = Low  CI Displacements C = 0.0288 
 Case Number = 69 
 House Rating = Low  CI Displacements C = .00025 
 Case Number = 68 
 House Rating = Low  CI Displacements C = 0.0011 
 Case Number = 67 
 House Rating = Low  CI Displacements C = 1.4024 
 Case Number = 66 
 House Rating = Low  CI Displacements C = 0.0144 
 Case Number = 65 
 House Rating = Low  CI Displacements C = 0.0016 
 Case Number = 64 
 House Rating = Low  CI Displacements C = 8.8E-5 
 Case Number = 63 
 House Rating = Low  CI Displacements C = 1.6E-7 
 Case Number = 62 
 House Rating = Low  CI Displacements C = 1.8432 
 Case Number = 61 
 House Rating = Low  CI Displacements C = .00021 
 Case Number = 60 
 House Rating = Low  CI Displacements C = 0.0013 
 Case Number = 59 
 House Rating = Low  CI Displacements C = 0.0013 
 Case Number = 58 
 House Rating = Low  CI Displacements C = 0.0003 
 Case Number = 57 
 House Rating = Low  CI Displacements C = 0.0131 
 Case Number = 56 
 House Rating = High  CI Displacements C = 4.9E-5 
 Case Number = 55 
 House Rating = Low  CI Displacements C = 0.0113 
 Case Number = 54 
 House Rating = Low  CI Displacements C = 0.0565 
 Case Number = 53 
 House Rating = Low  CI Displacements C = 0.0017 
 Case Number = 52 
 House Rating = Low  CI Displacements C = 4.4E-5 
 Case Number = 51 
 House Rating = Low  CI Displacements C = 0.0017 
 Case Number = 50 
 House Rating = Low  CI Displacements C = 1.5382 
 Case Number = 49 
 House Rating = Low  CI Displacements C = 2.4223 
 Case Number = 48 
 House Rating = High  CI Displacements C = 0.0255 
 Case Number = 47 
 House Rating = High  CI Displacements C = 2.9E-7 
 Case Number = 46 
 House Rating = Low  CI Displacements C = 0.0028 
 Case Number = 45 
 House Rating = Low  CI Displacements C = 9.6E-6 
 Case Number = 44 
 House Rating = Low  CI Displacements C = 1.4451 
 Case Number = 43 
 House Rating = Low  CI Displacements C = 8.2E-5 
 Case Number = 42 
 House Rating = High  CI Displacements C = 0.0804 
 Case Number = 41 
 House Rating = High  CI Displacements C = .00081 
 Case Number = 40 
 House Rating = Low  CI Displacements C = 3.7448 
 Case Number = 39 
 House Rating = Low  CI Displacements C = 0.137 
 Case Number = 38 
 House Rating = High  CI Displacements C = 0 
 Case Number = 37 
 House Rating = High  CI Displacements C = 0.8354 
 Case Number = 36 
 House Rating = High  CI Displacements C = 75E-26 
 Case Number = 35 
 House Rating = High  CI Displacements C = 0.036 
 Case Number = 34 
 House Rating = High  CI Displacements C = 0.3815 
 Case Number = 33 
 House Rating = High  CI Displacements C = 0.0146 
 Case Number = 32 
 House Rating = High  CI Displacements C = 17E-20 
 Case Number = 31 
 House Rating = High  CI Displacements C = 38E-12 
 Case Number = 30 
 House Rating = High  CI Displacements C = 0.1677 
 Case Number = 29 
 House Rating = High  CI Displacements C = 2E-10 
 Case Number = 28 
 House Rating = High  CI Displacements C = 23E-16 
 Case Number = 27 
 House Rating = High  CI Displacements C = 7.1E-5 
 Case Number = 26 
 House Rating = Low  CI Displacements C = 0.0498 
 Case Number = 25 
 House Rating = High  CI Displacements C = 0 
 Case Number = 24 
 House Rating = High  CI Displacements C = 4.7167 
 Case Number = 23 
 House Rating = High  CI Displacements C = 0.0171 
 Case Number = 22 
 House Rating = High  CI Displacements C = 0.5084 
 Case Number = 21 
 House Rating = High  CI Displacements C = .00017 
 Case Number = 20 
 House Rating = Low  CI Displacements C = 2.0838 
 Case Number = 19 
 House Rating = High  CI Displacements C = .00006 
 Case Number = 18 
 House Rating = Low  CI Displacements C = 1E-12 
 Case Number = 17 
 House Rating = High  CI Displacements C = 8.3E-6 
 Case Number = 16 
 House Rating = Low  CI Displacements C = 0 
 Case Number = 15 
 House Rating = High  CI Displacements C = .00032 
 Case Number = 14 
 House Rating = Low  CI Displacements C = 1.3E-6 
 Case Number = 13 
 House Rating = Low  CI Displacements C = 1.4E-8 
 Case Number = 12 
 House Rating = Low  CI Displacements C = 0.628 
 Case Number = 11 
 House Rating = High  CI Displacements C = 19E-11 
 Case Number = 10 
 House Rating = Low  CI Displacements C = 0.0121 
 Case Number = 9 
 House Rating = Low  CI Displacements C = 10.689 
 Case Number = 8 
 House Rating = Low  CI Displacements C = 0.025 
 Case Number = 7 
 House Rating = High  CI Displacements C = 53E-17 
 Case Number = 6 
 House Rating = High  CI Displacements C = 8.5E-5 
 Case Number = 5 
 House Rating = Low  CI Displacements C = .00086 
 Case Number = 4 
 House Rating = Low  CI Displacements C = 0.0001 
 Case Number = 3 
 House Rating = Low  CI Displacements C = .00045 
 Case Number = 2 
 House Rating = Low  CI Displacements C = 17E-31 
 Case Number = 1 
 House Rating = High
Influence Plots: Panel 1

Panel 2

 CI Displacements CBar = .00003 
 Case Number = 203 
 House Rating = Low  CI Displacements CBar = 6.2E-5 
 Case Number = 202 
 House Rating = Low  CI Displacements CBar = 0.0007 
 Case Number = 201 
 House Rating = Low  CI Displacements CBar = .00071 
 Case Number = 200 
 House Rating = Low  CI Displacements CBar = 9.2E-5 
 Case Number = 199 
 House Rating = Low  CI Displacements CBar = 3.5E-5 
 Case Number = 198 
 House Rating = Low  CI Displacements CBar = .00058 
 Case Number = 197 
 House Rating = Low  CI Displacements CBar = 48E-15 
 Case Number = 196 
 House Rating = Low  CI Displacements CBar = .00029 
 Case Number = 195 
 House Rating = Low  CI Displacements CBar = 2.7E-5 
 Case Number = 194 
 House Rating = Low  CI Displacements CBar = .00071 
 Case Number = 193 
 House Rating = Low  CI Displacements CBar = 0.0015 
 Case Number = 192 
 House Rating = Low  CI Displacements CBar = .00014 
 Case Number = 191 
 House Rating = Low  CI Displacements CBar = 2.2374 
 Case Number = 190 
 House Rating = High  CI Displacements CBar = 2.5E-6 
 Case Number = 189 
 House Rating = Low  CI Displacements CBar = 0.0014 
 Case Number = 188 
 House Rating = Low  CI Displacements CBar = 0.0024 
 Case Number = 187 
 House Rating = Low  CI Displacements CBar = .00014 
 Case Number = 186 
 House Rating = Low  CI Displacements CBar = 0.7776 
 Case Number = 185 
 House Rating = High  CI Displacements CBar = 0.0016 
 Case Number = 184 
 House Rating = Low  CI Displacements CBar = 2.6E-5 
 Case Number = 183 
 House Rating = Low  CI Displacements CBar = 0.358 
 Case Number = 182 
 House Rating = Low  CI Displacements CBar = 4.9E-5 
 Case Number = 181 
 House Rating = Low  CI Displacements CBar = 3.4E-5 
 Case Number = 180 
 House Rating = Low  CI Displacements CBar = .00083 
 Case Number = 179 
 House Rating = Low  CI Displacements CBar = 0.0195 
 Case Number = 178 
 House Rating = Low  CI Displacements CBar = .00012 
 Case Number = 177 
 House Rating = Low  CI Displacements CBar = 4.1E-5 
 Case Number = 176 
 House Rating = Low  CI Displacements CBar = 9.5E-8 
 Case Number = 175 
 House Rating = Low  CI Displacements CBar = 2.4E-5 
 Case Number = 174 
 House Rating = Low  CI Displacements CBar = 0.0981 
 Case Number = 173 
 House Rating = Low  CI Displacements CBar = .00089 
 Case Number = 172 
 House Rating = Low  CI Displacements CBar = 0.0017 
 Case Number = 171 
 House Rating = Low  CI Displacements CBar = .00037 
 Case Number = 170 
 House Rating = Low  CI Displacements CBar = 6.5E-5 
 Case Number = 169 
 House Rating = Low  CI Displacements CBar = 6.5E-5 
 Case Number = 168 
 House Rating = Low  CI Displacements CBar = 6.7E-5 
 Case Number = 167 
 House Rating = Low  CI Displacements CBar = 1.1E-7 
 Case Number = 166 
 House Rating = Low  CI Displacements CBar = 5.4E-5 
 Case Number = 165 
 House Rating = Low  CI Displacements CBar = .00055 
 Case Number = 164 
 House Rating = Low  CI Displacements CBar = .00035 
 Case Number = 163 
 House Rating = Low  CI Displacements CBar = 9.3E-5 
 Case Number = 162 
 House Rating = Low  CI Displacements CBar = 7.8E-7 
 Case Number = 161 
 House Rating = Low  CI Displacements CBar = .00033 
 Case Number = 160 
 House Rating = Low  CI Displacements CBar = .00011 
 Case Number = 159 
 House Rating = Low  CI Displacements CBar = 0.0013 
 Case Number = 158 
 House Rating = Low  CI Displacements CBar = .00033 
 Case Number = 157 
 House Rating = Low  CI Displacements CBar = 0.0013 
 Case Number = 156 
 House Rating = Low  CI Displacements CBar = 0.0353 
 Case Number = 155 
 House Rating = Low  CI Displacements CBar = 1.9E-5 
 Case Number = 154 
 House Rating = Low  CI Displacements CBar = 2.1E-5 
 Case Number = 153 
 House Rating = Low  CI Displacements CBar = 5E-7 
 Case Number = 152 
 House Rating = Low  CI Displacements CBar = .00002 
 Case Number = 151 
 House Rating = Low  CI Displacements CBar = 5.3E-5 
 Case Number = 150 
 House Rating = Low  CI Displacements CBar = 6.9E-5 
 Case Number = 149 
 House Rating = Low  CI Displacements CBar = 2.7E-5 
 Case Number = 148 
 House Rating = Low  CI Displacements CBar = .00012 
 Case Number = 147 
 House Rating = Low  CI Displacements CBar = 5.7E-5 
 Case Number = 146 
 House Rating = Low  CI Displacements CBar = 4.5E-6 
 Case Number = 145 
 House Rating = Low  CI Displacements CBar = 2.7E-8 
 Case Number = 144 
 House Rating = Low  CI Displacements CBar = 0.037 
 Case Number = 143 
 House Rating = Low  CI Displacements CBar = 1.8E-5 
 Case Number = 142 
 House Rating = Low  CI Displacements CBar = 7.1E-5 
 Case Number = 141 
 House Rating = Low  CI Displacements CBar = 62E-11 
 Case Number = 140 
 House Rating = Low  CI Displacements CBar = 1.2E-6 
 Case Number = 139 
 House Rating = Low  CI Displacements CBar = 3.7E-5 
 Case Number = 138 
 House Rating = Low  CI Displacements CBar = 0.0329 
 Case Number = 137 
 House Rating = Low  CI Displacements CBar = 0.1575 
 Case Number = 136 
 House Rating = High  CI Displacements CBar = 3.2E-5 
 Case Number = 135 
 House Rating = Low  CI Displacements CBar = 13E-13 
 Case Number = 134 
 House Rating = Low  CI Displacements CBar = 3.6E-5 
 Case Number = 133 
 House Rating = Low  CI Displacements CBar = 8.4E-5 
 Case Number = 132 
 House Rating = Low  CI Displacements CBar = .00068 
 Case Number = 131 
 House Rating = Low  CI Displacements CBar = .00044 
 Case Number = 130 
 House Rating = Low  CI Displacements CBar = .00002 
 Case Number = 129 
 House Rating = Low  CI Displacements CBar = 1.6E-6 
 Case Number = 128 
 House Rating = Low  CI Displacements CBar = 3.5E-6 
 Case Number = 127 
 House Rating = Low  CI Displacements CBar = .00024 
 Case Number = 126 
 House Rating = Low  CI Displacements CBar = .00018 
 Case Number = 125 
 House Rating = Low  CI Displacements CBar = 0.0001 
 Case Number = 124 
 House Rating = Low  CI Displacements CBar = 0.0118 
 Case Number = 123 
 House Rating = High  CI Displacements CBar = 0.0027 
 Case Number = 122 
 House Rating = Low  CI Displacements CBar = 85E-34 
 Case Number = 121 
 House Rating = Low  CI Displacements CBar = 0.0016 
 Case Number = 120 
 House Rating = Low  CI Displacements CBar = 0.0101 
 Case Number = 119 
 House Rating = Low  CI Displacements CBar = 0.0013 
 Case Number = 118 
 House Rating = Low  CI Displacements CBar = 4.625 
 Case Number = 117 
 House Rating = High  CI Displacements CBar = 2.5E-6 
 Case Number = 116 
 House Rating = Low  CI Displacements CBar = .00034 
 Case Number = 115 
 House Rating = Low  CI Displacements CBar = .00025 
 Case Number = 114 
 House Rating = Low  CI Displacements CBar = .00002 
 Case Number = 113 
 House Rating = Low  CI Displacements CBar = 0.0877 
 Case Number = 112 
 House Rating = Low  CI Displacements CBar = 1.7311 
 Case Number = 111 
 House Rating = High  CI Displacements CBar = 0.0209 
 Case Number = 110 
 House Rating = High  CI Displacements CBar = .00022 
 Case Number = 109 
 House Rating = Low  CI Displacements CBar = 0.0093 
 Case Number = 108 
 House Rating = High  CI Displacements CBar = 0.0822 
 Case Number = 107 
 House Rating = High  CI Displacements CBar = 0.0026 
 Case Number = 106 
 House Rating = Low  CI Displacements CBar = 6.3E-7 
 Case Number = 105 
 House Rating = Low  CI Displacements CBar = 0.0007 
 Case Number = 104 
 House Rating = Low  CI Displacements CBar = 0.0033 
 Case Number = 103 
 House Rating = Low  CI Displacements CBar = 0.0366 
 Case Number = 102 
 House Rating = Low  CI Displacements CBar = .00011 
 Case Number = 101 
 House Rating = Low  CI Displacements CBar = .00011 
 Case Number = 100 
 House Rating = Low  CI Displacements CBar = 3.6E-5 
 Case Number = 99 
 House Rating = Low  CI Displacements CBar = 0.01 
 Case Number = 98 
 House Rating = High  CI Displacements CBar = 0.9121 
 Case Number = 97 
 House Rating = High  CI Displacements CBar = 0.0013 
 Case Number = 96 
 House Rating = Low  CI Displacements CBar = 1.9E-5 
 Case Number = 95 
 House Rating = Low  CI Displacements CBar = 0.0091 
 Case Number = 94 
 House Rating = High  CI Displacements CBar = 4.6E-8 
 Case Number = 93 
 House Rating = Low  CI Displacements CBar = 0.0029 
 Case Number = 92 
 House Rating = Low  CI Displacements CBar = 0.0023 
 Case Number = 91 
 House Rating = Low  CI Displacements CBar = 0.0018 
 Case Number = 90 
 House Rating = Low  CI Displacements CBar = 0.0014 
 Case Number = 89 
 House Rating = Low  CI Displacements CBar = .00051 
 Case Number = 88 
 House Rating = Low  CI Displacements CBar = 0.0224 
 Case Number = 87 
 House Rating = Low  CI Displacements CBar = 0.0012 
 Case Number = 86 
 House Rating = Low  CI Displacements CBar = 0.0027 
 Case Number = 85 
 House Rating = Low  CI Displacements CBar = 3.7E-8 
 Case Number = 84 
 House Rating = Low  CI Displacements CBar = 0.0013 
 Case Number = 83 
 House Rating = Low  CI Displacements CBar = .00001 
 Case Number = 82 
 House Rating = Low  CI Displacements CBar = 1.6E-7 
 Case Number = 81 
 House Rating = Low  CI Displacements CBar = 2.6E-5 
 Case Number = 80 
 House Rating = Low  CI Displacements CBar = 0.009 
 Case Number = 79 
 House Rating = Low  CI Displacements CBar = 1.2E-5 
 Case Number = 78 
 House Rating = Low  CI Displacements CBar = 0.0016 
 Case Number = 77 
 House Rating = Low  CI Displacements CBar = 0.0219 
 Case Number = 76 
 House Rating = Low  CI Displacements CBar = 0.0053 
 Case Number = 75 
 House Rating = Low  CI Displacements CBar = 0.1135 
 Case Number = 74 
 House Rating = Low  CI Displacements CBar = 2.3E-5 
 Case Number = 73 
 House Rating = Low  CI Displacements CBar = .00038 
 Case Number = 72 
 House Rating = Low  CI Displacements CBar = .00034 
 Case Number = 71 
 House Rating = Low  CI Displacements CBar = 0.0012 
 Case Number = 70 
 House Rating = Low  CI Displacements CBar = 0.0252 
 Case Number = 69 
 House Rating = Low  CI Displacements CBar = .00025 
 Case Number = 68 
 House Rating = Low  CI Displacements CBar = 0.0011 
 Case Number = 67 
 House Rating = Low  CI Displacements CBar = 1.2349 
 Case Number = 66 
 House Rating = Low  CI Displacements CBar = 0.014 
 Case Number = 65 
 House Rating = Low  CI Displacements CBar = 0.0016 
 Case Number = 64 
 House Rating = Low  CI Displacements CBar = 8.6E-5 
 Case Number = 63 
 House Rating = Low  CI Displacements CBar = 1.6E-7 
 Case Number = 62 
 House Rating = Low  CI Displacements CBar = 1.1154 
 Case Number = 61 
 House Rating = Low  CI Displacements CBar = .00021 
 Case Number = 60 
 House Rating = Low  CI Displacements CBar = 0.0013 
 Case Number = 59 
 House Rating = Low  CI Displacements CBar = 0.0013 
 Case Number = 58 
 House Rating = Low  CI Displacements CBar = 0.0003 
 Case Number = 57 
 House Rating = Low  CI Displacements CBar = 0.0124 
 Case Number = 56 
 House Rating = High  CI Displacements CBar = 4.8E-5 
 Case Number = 55 
 House Rating = Low  CI Displacements CBar = 0.011 
 Case Number = 54 
 House Rating = Low  CI Displacements CBar = 0.0118 
 Case Number = 53 
 House Rating = Low  CI Displacements CBar = 0.0016 
 Case Number = 52 
 House Rating = Low  CI Displacements CBar = 4.3E-5 
 Case Number = 51 
 House Rating = Low  CI Displacements CBar = 0.0017 
 Case Number = 50 
 House Rating = Low  CI Displacements CBar = 0.4237 
 Case Number = 49 
 House Rating = Low  CI Displacements CBar = 2.0521 
 Case Number = 48 
 House Rating = High  CI Displacements CBar = 0.0191 
 Case Number = 47 
 House Rating = High  CI Displacements CBar = 2.9E-7 
 Case Number = 46 
 House Rating = Low  CI Displacements CBar = 0.0027 
 Case Number = 45 
 House Rating = Low  CI Displacements CBar = 9.6E-6 
 Case Number = 44 
 House Rating = Low  CI Displacements CBar = 0.4717 
 Case Number = 43 
 House Rating = Low  CI Displacements CBar = 8.1E-5 
 Case Number = 42 
 House Rating = High  CI Displacements CBar = 0.0584 
 Case Number = 41 
 House Rating = High  CI Displacements CBar = 0.0008 
 Case Number = 40 
 House Rating = Low  CI Displacements CBar = 1.8496 
 Case Number = 39 
 House Rating = Low  CI Displacements CBar = 0.1006 
 Case Number = 38 
 House Rating = High  CI Displacements CBar = 0 
 Case Number = 37 
 House Rating = High  CI Displacements CBar = 0.6958 
 Case Number = 36 
 House Rating = High  CI Displacements CBar = 75E-26 
 Case Number = 35 
 House Rating = High  CI Displacements CBar = 0.0339 
 Case Number = 34 
 House Rating = High  CI Displacements CBar = 0.1996 
 Case Number = 33 
 House Rating = High  CI Displacements CBar = 0.0138 
 Case Number = 32 
 House Rating = High  CI Displacements CBar = 17E-20 
 Case Number = 31 
 House Rating = High  CI Displacements CBar = 38E-12 
 Case Number = 30 
 House Rating = High  CI Displacements CBar = 0.1649 
 Case Number = 29 
 House Rating = High  CI Displacements CBar = 2E-10 
 Case Number = 28 
 House Rating = High  CI Displacements CBar = 23E-16 
 Case Number = 27 
 House Rating = High  CI Displacements CBar = .00007 
 Case Number = 26 
 House Rating = Low  CI Displacements CBar = 0.0414 
 Case Number = 25 
 House Rating = High  CI Displacements CBar = 0 
 Case Number = 24 
 House Rating = High  CI Displacements CBar = 2.3405 
 Case Number = 23 
 House Rating = High  CI Displacements CBar = 0.0142 
 Case Number = 22 
 House Rating = High  CI Displacements CBar = 0.3113 
 Case Number = 21 
 House Rating = High  CI Displacements CBar = .00017 
 Case Number = 20 
 House Rating = Low  CI Displacements CBar = 1.053 
 Case Number = 19 
 House Rating = High  CI Displacements CBar = 5.9E-5 
 Case Number = 18 
 House Rating = Low  CI Displacements CBar = 1E-12 
 Case Number = 17 
 House Rating = High  CI Displacements CBar = 8.3E-6 
 Case Number = 16 
 House Rating = Low  CI Displacements CBar = 0 
 Case Number = 15 
 House Rating = High  CI Displacements CBar = .00032 
 Case Number = 14 
 House Rating = Low  CI Displacements CBar = 1.3E-6 
 Case Number = 13 
 House Rating = Low  CI Displacements CBar = 1.4E-8 
 Case Number = 12 
 House Rating = Low  CI Displacements CBar = 0.6242 
 Case Number = 11 
 House Rating = High  CI Displacements CBar = 19E-11 
 Case Number = 10 
 House Rating = Low  CI Displacements CBar = 0.0097 
 Case Number = 9 
 House Rating = Low  CI Displacements CBar = 3.0316 
 Case Number = 8 
 House Rating = Low  CI Displacements CBar = 0.0199 
 Case Number = 7 
 House Rating = High  CI Displacements CBar = 53E-17 
 Case Number = 6 
 House Rating = High  CI Displacements CBar = 8.4E-5 
 Case Number = 5 
 House Rating = Low  CI Displacements CBar = .00085 
 Case Number = 4 
 House Rating = Low  CI Displacements CBar = 9.9E-5 
 Case Number = 3 
 House Rating = Low  CI Displacements CBar = .00044 
 Case Number = 2 
 House Rating = Low  CI Displacements CBar = 17E-31 
 Case Number = 1 
 House Rating = High  Delta ChiSquare = 0.0063 
 Case Number = 203 
 House Rating = Low  Delta ChiSquare = 0.01 
 Case Number = 202 
 House Rating = Low  Delta ChiSquare = 0.0531 
 Case Number = 201 
 House Rating = Low  Delta ChiSquare = 0.0157 
 Case Number = 200 
 House Rating = Low  Delta ChiSquare = 0.013 
 Case Number = 199 
 House Rating = Low  Delta ChiSquare = 0.007 
 Case Number = 198 
 House Rating = Low  Delta ChiSquare = 0.0461 
 Case Number = 197 
 House Rating = Low  Delta ChiSquare = 3.2E-8 
 Case Number = 196 
 House Rating = Low  Delta ChiSquare = 0.0282 
 Case Number = 195 
 House Rating = Low  Delta ChiSquare = 0.0059 
 Case Number = 194 
 House Rating = Low  Delta ChiSquare = 0.0537 
 Case Number = 193 
 House Rating = Low  Delta ChiSquare = 0.095 
 Case Number = 192 
 House Rating = Low  Delta ChiSquare = 0.0176 
 Case Number = 191 
 House Rating = Low  Delta ChiSquare = 2.9451 
 Case Number = 190 
 House Rating = High  Delta ChiSquare = .00088 
 Case Number = 189 
 House Rating = Low  Delta ChiSquare = 0.0072 
 Case Number = 188 
 House Rating = Low  Delta ChiSquare = 0.1335 
 Case Number = 187 
 House Rating = Low  Delta ChiSquare = 0.0175 
 Case Number = 186 
 House Rating = Low  Delta ChiSquare = 168.66 
 Case Number = 185 
 House Rating = High  Delta ChiSquare = 0.0979 
 Case Number = 184 
 House Rating = Low  Delta ChiSquare = 0.0058 
 Case Number = 183 
 House Rating = Low  Delta ChiSquare = 0.9219 
 Case Number = 182 
 House Rating = Low  Delta ChiSquare = 0.0086 
 Case Number = 181 
 House Rating = Low  Delta ChiSquare = 0.0068 
 Case Number = 180 
 House Rating = Low  Delta ChiSquare = 0.0599 
 Case Number = 179 
 House Rating = Low  Delta ChiSquare = 0.1296 
 Case Number = 178 
 House Rating = Low  Delta ChiSquare = 0.0153 
 Case Number = 177 
 House Rating = Low  Delta ChiSquare = 0.0077 
 Case Number = 176 
 House Rating = Low  Delta ChiSquare = .00014 
 Case Number = 175 
 House Rating = Low  Delta ChiSquare = 0.0054 
 Case Number = 174 
 House Rating = Low  Delta ChiSquare = 0.2998 
 Case Number = 173 
 House Rating = Low  Delta ChiSquare = 0.0629 
 Case Number = 172 
 House Rating = Low  Delta ChiSquare = 0.1016 
 Case Number = 171 
 House Rating = Low  Delta ChiSquare = 0.0335 
 Case Number = 170 
 House Rating = Low  Delta ChiSquare = 0.0104 
 Case Number = 169 
 House Rating = Low  Delta ChiSquare = 0.0103 
 Case Number = 168 
 House Rating = Low  Delta ChiSquare = 0.0106 
 Case Number = 167 
 House Rating = Low  Delta ChiSquare = .00011 
 Case Number = 166 
 House Rating = Low  Delta ChiSquare = 0.0038 
 Case Number = 165 
 House Rating = Low  Delta ChiSquare = 0.0445 
 Case Number = 164 
 House Rating = Low  Delta ChiSquare = 0.0323 
 Case Number = 163 
 House Rating = Low  Delta ChiSquare = 0.0131 
 Case Number = 162 
 House Rating = Low  Delta ChiSquare = .00039 
 Case Number = 161 
 House Rating = Low  Delta ChiSquare = 0.0307 
 Case Number = 160 
 House Rating = Low  Delta ChiSquare = 0.015 
 Case Number = 159 
 House Rating = Low  Delta ChiSquare = 0.0857 
 Case Number = 158 
 House Rating = Low  Delta ChiSquare = 0.0311 
 Case Number = 157 
 House Rating = Low  Delta ChiSquare = 0.0172 
 Case Number = 156 
 House Rating = Low  Delta ChiSquare = 0.8324 
 Case Number = 155 
 House Rating = Low  Delta ChiSquare = 0.0047 
 Case Number = 154 
 House Rating = Low  Delta ChiSquare = 0.0051 
 Case Number = 153 
 House Rating = Low  Delta ChiSquare = .00031 
 Case Number = 152 
 House Rating = Low  Delta ChiSquare = 0.0048 
 Case Number = 151 
 House Rating = Low  Delta ChiSquare = 0.0091 
 Case Number = 150 
 House Rating = Low  Delta ChiSquare = 0.0108 
 Case Number = 149 
 House Rating = Low  Delta ChiSquare = 0.0058 
 Case Number = 148 
 House Rating = Low  Delta ChiSquare = 0.0158 
 Case Number = 147 
 House Rating = Low  Delta ChiSquare = 0.0095 
 Case Number = 146 
 House Rating = Low  Delta ChiSquare = .00092 
 Case Number = 145 
 House Rating = Low  Delta ChiSquare = .00003 
 Case Number = 144 
 House Rating = Low  Delta ChiSquare = 0.1748 
 Case Number = 143 
 House Rating = Low  Delta ChiSquare = 0.0046 
 Case Number = 142 
 House Rating = Low  Delta ChiSquare = 0.011 
 Case Number = 141 
 House Rating = Low  Delta ChiSquare = 2.2E-6 
 Case Number = 140 
 House Rating = Low  Delta ChiSquare = .00046 
 Case Number = 139 
 House Rating = Low  Delta ChiSquare = 0.0072 
 Case Number = 138 
 House Rating = Low  Delta ChiSquare = 0.2005 
 Case Number = 137 
 House Rating = Low  Delta ChiSquare = 0.289 
 Case Number = 136 
 House Rating = High  Delta ChiSquare = 0.0066 
 Case Number = 135 
 House Rating = Low  Delta ChiSquare = 1.7E-7 
 Case Number = 134 
 House Rating = Low  Delta ChiSquare = 0.007 
 Case Number = 133 
 House Rating = Low  Delta ChiSquare = 0.0122 
 Case Number = 132 
 House Rating = Low  Delta ChiSquare = 0.0521 
 Case Number = 131 
 House Rating = Low  Delta ChiSquare = 0.0382 
 Case Number = 130 
 House Rating = Low  Delta ChiSquare = 0.0049 
 Case Number = 129 
 House Rating = Low  Delta ChiSquare = .00047 
 Case Number = 128 
 House Rating = Low  Delta ChiSquare = .00068 
 Case Number = 127 
 House Rating = Low  Delta ChiSquare = 0.0246 
 Case Number = 126 
 House Rating = Low  Delta ChiSquare = 0.0201 
 Case Number = 125 
 House Rating = Low  Delta ChiSquare = 0.0141 
 Case Number = 124 
 House Rating = Low  Delta ChiSquare = 0.2014 
 Case Number = 123 
 House Rating = High  Delta ChiSquare = 0.1427 
 Case Number = 122 
 House Rating = Low  Delta ChiSquare = 48E-19 
 Case Number = 121 
 House Rating = Low  Delta ChiSquare = 0.0291 
 Case Number = 120 
 House Rating = Low  Delta ChiSquare = 0.365 
 Case Number = 119 
 House Rating = Low  Delta ChiSquare = 0.0852 
 Case Number = 118 
 House Rating = Low  Delta ChiSquare = 5.2223 
 Case Number = 117 
 House Rating = High  Delta ChiSquare = .00076 
 Case Number = 116 
 House Rating = Low  Delta ChiSquare = 0.0313 
 Case Number = 115 
 House Rating = Low  Delta ChiSquare = 0.0258 
 Case Number = 114 
 House Rating = Low  Delta ChiSquare = 0.0022 
 Case Number = 113 
 House Rating = Low  Delta ChiSquare = 0.4357 
 Case Number = 112 
 House Rating = Low  Delta ChiSquare = 2.8368 
 Case Number = 111 
 House Rating = High  Delta ChiSquare = 0.3376 
 Case Number = 110 
 House Rating = High  Delta ChiSquare = 0.0107 
 Case Number = 109 
 House Rating = Low  Delta ChiSquare = 0.1656 
 Case Number = 108 
 House Rating = High  Delta ChiSquare = 3.0392 
 Case Number = 107 
 House Rating = High  Delta ChiSquare = 0.1393 
 Case Number = 106 
 House Rating = Low  Delta ChiSquare = .00034 
 Case Number = 105 
 House Rating = Low  Delta ChiSquare = 0.0527 
 Case Number = 104 
 House Rating = Low  Delta ChiSquare = 0.0461 
 Case Number = 103 
 House Rating = Low  Delta ChiSquare = 0.208 
 Case Number = 102 
 House Rating = Low  Delta ChiSquare = 0.0051 
 Case Number = 101 
 House Rating = Low  Delta ChiSquare = 0.0063 
 Case Number = 100 
 House Rating = Low  Delta ChiSquare = 0.0029 
 Case Number = 99 
 House Rating = Low  Delta ChiSquare = 0.175 
 Case Number = 98 
 House Rating = High  Delta ChiSquare = 1.0157 
 Case Number = 97 
 House Rating = High  Delta ChiSquare = 0.0821 
 Case Number = 96 
 House Rating = Low  Delta ChiSquare = 0.0029 
 Case Number = 95 
 House Rating = Low  Delta ChiSquare = 0.1626 
 Case Number = 94 
 House Rating = High  Delta ChiSquare = 8.8E-5 
 Case Number = 93 
 House Rating = Low  Delta ChiSquare = 0.1517 
 Case Number = 92 
 House Rating = Low  Delta ChiSquare = 0.1272 
 Case Number = 91 
 House Rating = Low  Delta ChiSquare = 0.1079 
 Case Number = 90 
 House Rating = Low  Delta ChiSquare = 0.0889 
 Case Number = 89 
 House Rating = Low  Delta ChiSquare = 0.0419 
 Case Number = 88 
 House Rating = Low  Delta ChiSquare = 0.1853 
 Case Number = 87 
 House Rating = Low  Delta ChiSquare = 0.0768 
 Case Number = 86 
 House Rating = Low  Delta ChiSquare = 0.1419 
 Case Number = 85 
 House Rating = Low  Delta ChiSquare = 7.5E-5 
 Case Number = 84 
 House Rating = Low  Delta ChiSquare = 0.0831 
 Case Number = 83 
 House Rating = Low  Delta ChiSquare = 0.0018 
 Case Number = 82 
 House Rating = Low  Delta ChiSquare = .00016 
 Case Number = 81 
 House Rating = Low  Delta ChiSquare = 0.0026 
 Case Number = 80 
 House Rating = Low  Delta ChiSquare = 0.0653 
 Case Number = 79 
 House Rating = Low  Delta ChiSquare = 0.0017 
 Case Number = 78 
 House Rating = Low  Delta ChiSquare = 0.0232 
 Case Number = 77 
 House Rating = Low  Delta ChiSquare = 0.6078 
 Case Number = 76 
 House Rating = Low  Delta ChiSquare = 0.0584 
 Case Number = 75 
 House Rating = Low  Delta ChiSquare = 1.9472 
 Case Number = 74 
 House Rating = Low  Delta ChiSquare = 0.0026 
 Case Number = 73 
 House Rating = Low  Delta ChiSquare = 0.0127 
 Case Number = 72 
 House Rating = Low  Delta ChiSquare = 0.0315 
 Case Number = 71 
 House Rating = Low  Delta ChiSquare = 0.0197 
 Case Number = 70 
 House Rating = Low  Delta ChiSquare = 0.1977 
 Case Number = 69 
 House Rating = Low  Delta ChiSquare = 0.0253 
 Case Number = 68 
 House Rating = Low  Delta ChiSquare = 0.0719 
 Case Number = 67 
 House Rating = Low  Delta ChiSquare = 10.338 
 Case Number = 66 
 House Rating = Low  Delta ChiSquare = 0.4524 
 Case Number = 65 
 House Rating = Low  Delta ChiSquare = 0.0973 
 Case Number = 64 
 House Rating = Low  Delta ChiSquare = 0.0049 
 Case Number = 63 
 House Rating = Low  Delta ChiSquare = .00017 
 Case Number = 62 
 House Rating = Low  Delta ChiSquare = 2.8247 
 Case Number = 61 
 House Rating = Low  Delta ChiSquare = 0.0224 
 Case Number = 60 
 House Rating = Low  Delta ChiSquare = 0.0836 
 Case Number = 59 
 House Rating = Low  Delta ChiSquare = 0.0816 
 Case Number = 58 
 House Rating = Low  Delta ChiSquare = 0.0287 
 Case Number = 57 
 House Rating = Low  Delta ChiSquare = 0.2089 
 Case Number = 56 
 House Rating = High  Delta ChiSquare = 0.0086 
 Case Number = 55 
 House Rating = Low  Delta ChiSquare = 0.3857 
 Case Number = 54 
 House Rating = Low  Delta ChiSquare = 0.0149 
 Case Number = 53 
 House Rating = Low  Delta ChiSquare = 0.0991 
 Case Number = 52 
 House Rating = Low  Delta ChiSquare = 0.0028 
 Case Number = 51 
 House Rating = Low  Delta ChiSquare = 0.1003 
 Case Number = 50 
 House Rating = Low  Delta ChiSquare = 0.5848 
 Case Number = 49 
 House Rating = Low  Delta ChiSquare = 13.427 
 Case Number = 48 
 House Rating = High  Delta ChiSquare = 0.0767 
 Case Number = 47 
 House Rating = High  Delta ChiSquare = .00016 
 Case Number = 46 
 House Rating = Low  Delta ChiSquare = 0.1454 
 Case Number = 45 
 House Rating = Low  Delta ChiSquare = 0.0016 
 Case Number = 44 
 House Rating = Low  Delta ChiSquare = 0.7003 
 Case Number = 43 
 House Rating = Low  Delta ChiSquare = 0.0036 
 Case Number = 42 
 House Rating = High  Delta ChiSquare = 0.2133 
 Case Number = 41 
 House Rating = High  Delta ChiSquare = 0.0581 
 Case Number = 40 
 House Rating = Low  Delta ChiSquare = 3.6549 
 Case Number = 39 
 House Rating = Low  Delta ChiSquare = 0.3782 
 Case Number = 38 
 House Rating = High  Delta ChiSquare = 0 
 Case Number = 37 
 House Rating = High  Delta ChiSquare = 4.1644 
 Case Number = 36 
 House Rating = High  Delta ChiSquare = 9E-14 
 Case Number = 35 
 House Rating = High  Delta ChiSquare = 0.5825 
 Case Number = 34 
 House Rating = High  Delta ChiSquare = 0.4187 
 Case Number = 33 
 House Rating = High  Delta ChiSquare = 0.229 
 Case Number = 32 
 House Rating = High  Delta ChiSquare = 45E-12 
 Case Number = 31 
 House Rating = High  Delta ChiSquare = 9E-7 
 Case Number = 30 
 House Rating = High  Delta ChiSquare = 9.7623 
 Case Number = 29 
 House Rating = High  Delta ChiSquare = 1.5E-6 
 Case Number = 28 
 House Rating = High  Delta ChiSquare = 5.1E-9 
 Case Number = 27 
 House Rating = High  Delta ChiSquare = 0.0109 
 Case Number = 26 
 House Rating = Low  Delta ChiSquare = 0.2448 
 Case Number = 25 
 House Rating = High  Delta ChiSquare = 0 
 Case Number = 24 
 House Rating = High  Delta ChiSquare = 4.6459 
 Case Number = 23 
 House Rating = High  Delta ChiSquare = 0.0821 
 Case Number = 22 
 House Rating = High  Delta ChiSquare = 0.803 
 Case Number = 21 
 House Rating = High  Delta ChiSquare = 0.0055 
 Case Number = 20 
 House Rating = Low  Delta ChiSquare = 2.1286 
 Case Number = 19 
 House Rating = High  Delta ChiSquare = 0.0098 
 Case Number = 18 
 House Rating = Low  Delta ChiSquare = 1.8E-7 
 Case Number = 17 
 House Rating = High  Delta ChiSquare = .00096 
 Case Number = 16 
 House Rating = Low  Delta ChiSquare = 0 
 Case Number = 15 
 House Rating = High  Delta ChiSquare = 0.0304 
 Case Number = 14 
 House Rating = Low  Delta ChiSquare = .00048 
 Case Number = 13 
 House Rating = Low  Delta ChiSquare = .00002 
 Case Number = 12 
 House Rating = Low  Delta ChiSquare = 101.73 
 Case Number = 11 
 House Rating = High  Delta ChiSquare = 2.6E-6 
 Case Number = 10 
 House Rating = Low  Delta ChiSquare = 0.0472 
 Case Number = 9 
 House Rating = Low  Delta ChiSquare = 4.2318 
 Case Number = 8 
 House Rating = Low  Delta ChiSquare = 0.0963 
 Case Number = 7 
 House Rating = High  Delta ChiSquare = 3.8E-9 
 Case Number = 6 
 House Rating = High  Delta ChiSquare = 0.0123 
 Case Number = 5 
 House Rating = Low  Delta ChiSquare = 0.061 
 Case Number = 4 
 House Rating = Low  Delta ChiSquare = 0.0053 
 Case Number = 3 
 House Rating = Low  Delta ChiSquare = 0.038 
 Case Number = 2 
 House Rating = Low  Delta ChiSquare = 11E-17 
 Case Number = 1 
 House Rating = High  Delta Deviance = 0.0126 
 Case Number = 203 
 House Rating = Low  Delta Deviance = 0.0199 
 Case Number = 202 
 House Rating = Low  Delta Deviance = 0.1028 
 Case Number = 201 
 House Rating = Low  Delta Deviance = 0.0304 
 Case Number = 200 
 House Rating = Low  Delta Deviance = 0.0257 
 Case Number = 199 
 House Rating = Low  Delta Deviance = 0.0139 
 Case Number = 198 
 House Rating = Low  Delta Deviance = 0.0897 
 Case Number = 197 
 House Rating = Low  Delta Deviance = 6.4E-8 
 Case Number = 196 
 House Rating = Low  Delta Deviance = 0.0554 
 Case Number = 195 
 House Rating = Low  Delta Deviance = 0.0118 
 Case Number = 194 
 House Rating = Low  Delta Deviance = 0.104 
 Case Number = 193 
 House Rating = Low  Delta Deviance = 0.1803 
 Case Number = 192 
 House Rating = Low  Delta Deviance = 0.0347 
 Case Number = 191 
 House Rating = Low  Delta Deviance = 3.3078 
 Case Number = 190 
 House Rating = High  Delta Deviance = 0.0018 
 Case Number = 189 
 House Rating = Low  Delta Deviance = 0.0129 
 Case Number = 188 
 House Rating = Low  Delta Deviance = 0.2488 
 Case Number = 187 
 House Rating = Low  Delta Deviance = 0.0345 
 Case Number = 186 
 House Rating = Low  Delta Deviance = 11.036 
 Case Number = 185 
 House Rating = High  Delta Deviance = 0.1855 
 Case Number = 184 
 House Rating = Low  Delta Deviance = 0.0116 
 Case Number = 183 
 House Rating = Low  Delta Deviance = 1.2524 
 Case Number = 182 
 House Rating = Low  Delta Deviance = 0.0171 
 Case Number = 181 
 House Rating = Low  Delta Deviance = 0.0136 
 Case Number = 180 
 House Rating = Low  Delta Deviance = 0.1156 
 Case Number = 179 
 House Rating = Low  Delta Deviance = 0.2284 
 Case Number = 178 
 House Rating = Low  Delta Deviance = 0.0303 
 Case Number = 177 
 House Rating = Low  Delta Deviance = 0.0153 
 Case Number = 176 
 House Rating = Low  Delta Deviance = .00028 
 Case Number = 175 
 House Rating = Low  Delta Deviance = 0.0108 
 Case Number = 174 
 House Rating = Low  Delta Deviance = 0.4656 
 Case Number = 173 
 House Rating = Low  Delta Deviance = 0.1212 
 Case Number = 172 
 House Rating = Low  Delta Deviance = 0.1921 
 Case Number = 171 
 House Rating = Low  Delta Deviance = 0.0655 
 Case Number = 170 
 House Rating = Low  Delta Deviance = 0.0206 
 Case Number = 169 
 House Rating = Low  Delta Deviance = 0.0205 
 Case Number = 168 
 House Rating = Low  Delta Deviance = 0.021 
 Case Number = 167 
 House Rating = Low  Delta Deviance = .00021 
 Case Number = 166 
 House Rating = Low  Delta Deviance = 0.0075 
 Case Number = 165 
 House Rating = Low  Delta Deviance = 0.0866 
 Case Number = 164 
 House Rating = Low  Delta Deviance = 0.0632 
 Case Number = 163 
 House Rating = Low  Delta Deviance = 0.0259 
 Case Number = 162 
 House Rating = Low  Delta Deviance = .00079 
 Case Number = 161 
 House Rating = Low  Delta Deviance = 0.0602 
 Case Number = 160 
 House Rating = Low  Delta Deviance = 0.0297 
 Case Number = 159 
 House Rating = Low  Delta Deviance = 0.1633 
 Case Number = 158 
 House Rating = Low  Delta Deviance = 0.061 
 Case Number = 157 
 House Rating = Low  Delta Deviance = 0.0329 
 Case Number = 156 
 House Rating = Low  Delta Deviance = 1.2076 
 Case Number = 155 
 House Rating = Low  Delta Deviance = 0.0094 
 Case Number = 154 
 House Rating = Low  Delta Deviance = 0.0101 
 Case Number = 153 
 House Rating = Low  Delta Deviance = .00061 
 Case Number = 152 
 House Rating = Low  Delta Deviance = 0.0096 
 Case Number = 151 
 House Rating = Low  Delta Deviance = 0.018 
 Case Number = 150 
 House Rating = Low  Delta Deviance = 0.0214 
 Case Number = 149 
 House Rating = Low  Delta Deviance = 0.0116 
 Case Number = 148 
 House Rating = Low  Delta Deviance = 0.0312 
 Case Number = 147 
 House Rating = Low  Delta Deviance = 0.0189 
 Case Number = 146 
 House Rating = Low  Delta Deviance = 0.0018 
 Case Number = 145 
 House Rating = Low  Delta Deviance = .00006 
 Case Number = 144 
 House Rating = Low  Delta Deviance = 0.2952 
 Case Number = 143 
 House Rating = Low  Delta Deviance = 0.0091 
 Case Number = 142 
 House Rating = Low  Delta Deviance = 0.0217 
 Case Number = 141 
 House Rating = Low  Delta Deviance = 4.4E-6 
 Case Number = 140 
 House Rating = Low  Delta Deviance = .00091 
 Case Number = 139 
 House Rating = Low  Delta Deviance = 0.0144 
 Case Number = 138 
 House Rating = Low  Delta Deviance = 0.3429 
 Case Number = 137 
 House Rating = Low  Delta Deviance = 0.4046 
 Case Number = 136 
 House Rating = High  Delta Deviance = 0.0132 
 Case Number = 135 
 House Rating = Low  Delta Deviance = 3.3E-7 
 Case Number = 134 
 House Rating = Low  Delta Deviance = 0.014 
 Case Number = 133 
 House Rating = Low  Delta Deviance = 0.0242 
 Case Number = 132 
 House Rating = Low  Delta Deviance = 0.101 
 Case Number = 131 
 House Rating = Low  Delta Deviance = 0.0746 
 Case Number = 130 
 House Rating = Low  Delta Deviance = 0.0097 
 Case Number = 129 
 House Rating = Low  Delta Deviance = .00095 
 Case Number = 128 
 House Rating = Low  Delta Deviance = 0.0014 
 Case Number = 127 
 House Rating = Low  Delta Deviance = 0.0483 
 Case Number = 126 
 House Rating = Low  Delta Deviance = 0.0396 
 Case Number = 125 
 House Rating = Low  Delta Deviance = 0.028 
 Case Number = 124 
 House Rating = Low  Delta Deviance = 0.359 
 Case Number = 123 
 House Rating = High  Delta Deviance = 0.2648 
 Case Number = 122 
 House Rating = Low  Delta Deviance = 96E-19 
 Case Number = 121 
 House Rating = Low  Delta Deviance = 0.056 
 Case Number = 120 
 House Rating = Low  Delta Deviance = 0.6176 
 Case Number = 119 
 House Rating = Low  Delta Deviance = 0.1624 
 Case Number = 118 
 House Rating = Low  Delta Deviance = 5.5616 
 Case Number = 117 
 House Rating = High  Delta Deviance = 0.0015 
 Case Number = 116 
 House Rating = Low  Delta Deviance = 0.0613 
 Case Number = 115 
 House Rating = Low  Delta Deviance = 0.0507 
 Case Number = 114 
 House Rating = Low  Delta Deviance = 0.0043 
 Case Number = 113 
 House Rating = Low  Delta Deviance = 0.6849 
 Case Number = 112 
 House Rating = Low  Delta Deviance = 3.2204 
 Case Number = 111 
 House Rating = High  Delta Deviance = 0.5712 
 Case Number = 110 
 House Rating = High  Delta Deviance = 0.021 
 Case Number = 109 
 House Rating = Low  Delta Deviance = 0.2997 
 Case Number = 108 
 House Rating = High  Delta Deviance = 2.8332 
 Case Number = 107 
 House Rating = High  Delta Deviance = 0.2589 
 Case Number = 106 
 House Rating = Low  Delta Deviance = .00069 
 Case Number = 105 
 House Rating = Low  Delta Deviance = 0.1022 
 Case Number = 104 
 House Rating = Low  Delta Deviance = 0.0871 
 Case Number = 103 
 House Rating = Low  Delta Deviance = 0.3529 
 Case Number = 102 
 House Rating = Low  Delta Deviance = 0.0101 
 Case Number = 101 
 House Rating = Low  Delta Deviance = 0.0124 
 Case Number = 100 
 House Rating = Low  Delta Deviance = 0.0058 
 Case Number = 99 
 House Rating = Low  Delta Deviance = 0.3154 
 Case Number = 98 
 House Rating = High  Delta Deviance = 1.1093 
 Case Number = 97 
 House Rating = High  Delta Deviance = 0.1568 
 Case Number = 96 
 House Rating = Low  Delta Deviance = 0.0057 
 Case Number = 95 
 House Rating = Low  Delta Deviance = 0.2947 
 Case Number = 94 
 House Rating = High  Delta Deviance = .00018 
 Case Number = 93 
 House Rating = Low  Delta Deviance = 0.2803 
 Case Number = 92 
 House Rating = Low  Delta Deviance = 0.2376 
 Case Number = 91 
 House Rating = Low  Delta Deviance = 0.2035 
 Case Number = 90 
 House Rating = Low  Delta Deviance = 0.1691 
 Case Number = 89 
 House Rating = Low  Delta Deviance = 0.0816 
 Case Number = 88 
 House Rating = Low  Delta Deviance = 0.3242 
 Case Number = 87 
 House Rating = Low  Delta Deviance = 0.147 
 Case Number = 86 
 House Rating = Low  Delta Deviance = 0.2633 
 Case Number = 85 
 House Rating = Low  Delta Deviance = .00015 
 Case Number = 84 
 House Rating = Low  Delta Deviance = 0.1586 
 Case Number = 83 
 House Rating = Low  Delta Deviance = 0.0037 
 Case Number = 82 
 House Rating = Low  Delta Deviance = .00032 
 Case Number = 81 
 House Rating = Low  Delta Deviance = 0.0053 
 Case Number = 80 
 House Rating = Low  Delta Deviance = 0.1185 
 Case Number = 79 
 House Rating = Low  Delta Deviance = 0.0034 
 Case Number = 78 
 House Rating = Low  Delta Deviance = 0.0443 
 Case Number = 77 
 House Rating = Low  Delta Deviance = 0.9441 
 Case Number = 76 
 House Rating = Low  Delta Deviance = 0.1088 
 Case Number = 75 
 House Rating = Low  Delta Deviance = 2.1966 
 Case Number = 74 
 House Rating = Low  Delta Deviance = 0.0051 
 Case Number = 73 
 House Rating = Low  Delta Deviance = 0.0249 
 Case Number = 72 
 House Rating = Low  Delta Deviance = 0.0617 
 Case Number = 71 
 House Rating = Low  Delta Deviance = 0.038 
 Case Number = 70 
 House Rating = Low  Delta Deviance = 0.3436 
 Case Number = 69 
 House Rating = Low  Delta Deviance = 0.0498 
 Case Number = 68 
 House Rating = Low  Delta Deviance = 0.1379 
 Case Number = 67 
 House Rating = Low  Delta Deviance = 5.8605 
 Case Number = 66 
 House Rating = Low  Delta Deviance = 0.7411 
 Case Number = 65 
 House Rating = Low  Delta Deviance = 0.1845 
 Case Number = 64 
 House Rating = Low  Delta Deviance = 0.0097 
 Case Number = 63 
 House Rating = Low  Delta Deviance = .00034 
 Case Number = 62 
 House Rating = Low  Delta Deviance = 3.1088 
 Case Number = 61 
 House Rating = Low  Delta Deviance = 0.0441 
 Case Number = 60 
 House Rating = Low  Delta Deviance = 0.1595 
 Case Number = 59 
 House Rating = Low  Delta Deviance = 0.1559 
 Case Number = 58 
 House Rating = Low  Delta Deviance = 0.0564 
 Case Number = 57 
 House Rating = Low  Delta Deviance = 0.3713 
 Case Number = 56 
 House Rating = High  Delta Deviance = 0.017 
 Case Number = 55 
 House Rating = Low  Delta Deviance = 0.6475 
 Case Number = 54 
 House Rating = Low  Delta Deviance = 0.018 
 Case Number = 53 
 House Rating = Low  Delta Deviance = 0.1877 
 Case Number = 52 
 House Rating = Low  Delta Deviance = 0.0056 
 Case Number = 51 
 House Rating = Low  Delta Deviance = 0.1899 
 Case Number = 50 
 House Rating = Low  Delta Deviance = 0.7224 
 Case Number = 49 
 House Rating = Low  Delta Deviance = 7.0835 
 Case Number = 48 
 House Rating = High  Delta Deviance = 0.1312 
 Case Number = 47 
 House Rating = High  Delta Deviance = .00033 
 Case Number = 46 
 House Rating = Low  Delta Deviance = 0.2694 
 Case Number = 45 
 House Rating = Low  Delta Deviance = 0.0031 
 Case Number = 44 
 House Rating = Low  Delta Deviance = 0.8834 
 Case Number = 43 
 House Rating = Low  Delta Deviance = 0.0072 
 Case Number = 42 
 House Rating = High  Delta Deviance = 0.3464 
 Case Number = 41 
 House Rating = High  Delta Deviance = 0.1123 
 Case Number = 40 
 House Rating = Low  Delta Deviance = 3.9127 
 Case Number = 39 
 House Rating = Low  Delta Deviance = 0.5905 
 Case Number = 38 
 House Rating = High  Delta Deviance = 8E-22 
 Case Number = 37 
 House Rating = High  Delta Deviance = 3.6899 
 Case Number = 36 
 House Rating = High  Delta Deviance = 18E-14 
 Case Number = 35 
 House Rating = High  Delta Deviance = 0.9086 
 Case Number = 34 
 House Rating = High  Delta Deviance = 0.5958 
 Case Number = 33 
 House Rating = High  Delta Deviance = 0.4036 
 Case Number = 32 
 House Rating = High  Delta Deviance = 9E-11 
 Case Number = 31 
 House Rating = High  Delta Deviance = 1.8E-6 
 Case Number = 30 
 House Rating = High  Delta Deviance = 4.8861 
 Case Number = 29 
 House Rating = High  Delta Deviance = 3E-6 
 Case Number = 28 
 House Rating = High  Delta Deviance = 1E-8 
 Case Number = 27 
 House Rating = High  Delta Deviance = 0.0216 
 Case Number = 26 
 House Rating = Low  Delta Deviance = 0.4117 
 Case Number = 25 
 House Rating = High  Delta Deviance = 88E-24 
 Case Number = 24 
 House Rating = High  Delta Deviance = 4.7316 
 Case Number = 23 
 House Rating = High  Delta Deviance = 0.1456 
 Case Number = 22 
 House Rating = High  Delta Deviance = 1.1111 
 Case Number = 21 
 House Rating = High  Delta Deviance = 0.0108 
 Case Number = 20 
 House Rating = Low  Delta Deviance = 2.5135 
 Case Number = 19 
 House Rating = High  Delta Deviance = 0.0194 
 Case Number = 18 
 House Rating = Low  Delta Deviance = 3.5E-7 
 Case Number = 17 
 House Rating = High  Delta Deviance = 0.0019 
 Case Number = 16 
 House Rating = Low  Delta Deviance = 11E-68 
 Case Number = 15 
 House Rating = High  Delta Deviance = 0.0595 
 Case Number = 14 
 House Rating = Low  Delta Deviance = .00095 
 Case Number = 13 
 House Rating = Low  Delta Deviance = .00004 
 Case Number = 12 
 House Rating = Low  Delta Deviance = 9.8761 
 Case Number = 11 
 House Rating = High  Delta Deviance = 5.2E-6 
 Case Number = 10 
 House Rating = Low  Delta Deviance = 0.0834 
 Case Number = 9 
 House Rating = Low  Delta Deviance = 4.6087 
 Case Number = 8 
 House Rating = Low  Delta Deviance = 0.1671 
 Case Number = 7 
 House Rating = High  Delta Deviance = 7.6E-9 
 Case Number = 6 
 House Rating = High  Delta Deviance = 0.0244 
 Case Number = 5 
 House Rating = Low  Delta Deviance = 0.1177 
 Case Number = 4 
 House Rating = Low  Delta Deviance = 0.0104 
 Case Number = 3 
 House Rating = Low  Delta Deviance = 0.0742 
 Case Number = 2 
 House Rating = Low  Delta Deviance = 23E-17 
 Case Number = 1 
 House Rating = High
Influence Plots: Panel 2