hwk4-5.2 - Model m1 1 The LOGISTIC Procedure Model...

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Model m1 1 The LOGISTIC Procedure Model Information Data Set WORK.TWO Response Variable td Number of Response Levels 2 Model binary logit Optimization Technique Fisher's scoring Number of Observations Read 133 Number of Observations Used 23 Response Profile Ordered Total Value td Frequency 1 0 16 2 1 7 Probability modeled is td=1. NOTE: 110 observations were deleted due to missing values for the response or explanatory variables. Model Convergence Status Convergence criterion (GCONV=1E-8) satisfied. Model Fit Statistics Intercept Intercept and Criterion Only Covariates AIC 30.267 24.315 SC 31.403 26.586 -2 Log L 28.267 20.315 R-Square 0.2923 Max-rescaled R-Square 0.4132
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Model m1 2 The LOGISTIC Procedure Testing Global Null Hypothesis: BETA=0 Test Chi-Square DF Pr > ChiSq Likelihood Ratio 7.9520 1 0.0048 Score 7.2312 1 0.0072 Wald 4.6008 1 0.0320 Analysis of Maximum Likelihood Estimates Standard Wald Parameter DF Estimate Error Chi-Square Pr > ChiSq Intercept 1 15.0429 7.3786 4.1563 0.0415
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This note was uploaded on 11/13/2011 for the course STAT 8620 taught by Professor Hall during the Fall '11 term at University of Florida.

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hwk4-5.2 - Model m1 1 The LOGISTIC Procedure Model...

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