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