Select the results to display for Fit Binary Logistic Model and Binary Logistic Regression

Stat > Regression > Binary Logistic Regression > Fit Binary Logistic Model > Results

Predictive Analytics Module > Binary Logistic Regression > Results

Display of results
  • Simple tables: Display the simpler version of all tables.
  • Expanded tables: Display the expanded versions of the Analysis of Variance, the Coefficients, and the Fits and Diagnostics tables.
Method
Display a table that summarizes some of the settings for the analysis.
Response information
Display the number of events and the number of non-events in the response variable.
Iteration information
Display the deviance at each iteration of the parameters.
Analysis of variance
Display the ANOVA table.
If you use the Likelihood ratio test, the ANOVA table includes the adjusted or sequential deviances depending on the type of deviance that you select on the Options tab.
Model summary
Display the statistics that evaluate the model fit, including deviance R2, Akaike's Information Criterion (AIC), the corrected Akaike's Information Criterion (AICc) and the Bayesian Information Criterion (BIC).
Coefficients
Display the coefficients, standard error of the coefficients, and the VIF's. The expanded table adds the confidence intervals and the test results that use the Wald normal approximation. If your model contains categorical predictors, the drop-down list is enabled so that you can control how many coefficients for categorical predictors are in the table.
  • Default coefficients: Display all the linearly independent coefficients of the categorical predictors.
  • Full set of coefficients: Display the coefficients for all levels of the categorical predictors, which includes the final, linearly dependent, level.
Odds ratios
Display the odds ratios for each continuous predictor and each level of the categorical predictors. The output does not show the odds ratios for the predictors that are in interaction terms.
Binary logistic regression equation
Display the regression equation. If your model contains categorical predictors, the drop-down list is enabled so that you can control how many equations are displayed.
  • Separate equation for each set of categorical predictor levels: Display multiple equations for each categorical predictor.
  • Single equation: Display one equation that includes all levels of all the categorical predictors.
Goodness-of-fit tests
Display the Pearson, the deviance, and the Hosmer-Lemeshow goodness-of-fit tests.
Frequencies for Hosmer-Lemeshow test
Display the observed and the expected frequencies that determine the fit for the Hosmer-Lemeshow test.
Measures of association
Display concordant, discordant, and tied pairs, and the summary measures, including Somers' D, Goodman-Kruskal Gamma, and Kendall Tau-a.
Fits and diagnostics
Display the fits and the diagnostic statistics. The expanded table adds standard errors, confidence intervals, deleted residuals, leverages (HI), Cook's D, and DFITS.
  • Only for unusual observations: Display the fits and diagnostics for only the unusual observations.
  • For all observations: Display the fits and the diagnostic statistics for all observations.