# Select the graphs to display for Fit Binary Logistic Model

Stat > Regression > Binary Logistic Regression > Fit Binary Logistic Model > Graphs
Display the receiver operating characteristic (ROC) curve. A footnote on the plot gives the area under the ROC curve. You can use the area under the ROC curve to compare models. The ROC curve plots the true positive rate (TPR) against the false positive rate (FPR).
Residuals for Plots
Specify the type of residuals to display on the residual plots. For more information, go to Which types of residuals are included in Minitab?.
• Regular: Plot the regular raw residuals.
• Standardized: Plot the standardized residuals.
• Deleted: Plot the Studentized deleted residuals.
Residuals plots
Use residual plots to examine whether your model meets the assumptions of regression and ANOVA. For more information, go to Residual plots in Minitab.
• Individual plots: Select the residual plots that you want to display.
Histogram of residuals
Display a histogram of the residuals.
Normal probability plot of residuals
Display a normal probability plot of the residuals.
Residuals versus fits
Display the residuals versus the fitted values. This plot is not available when the data are in the binary format or the frequency format because the resulting pattern would not be informative.
Residuals versus order
Display the residuals versus the order of the data. The row number for each data point is shown on the x-axis.
• Three in one or Four in one: Display the residual plots together in one graph. If the data are in the binary format or the frequency format, the layout has a histogram of residuals, a normal probability plot of residuals, and a plot of residuals versus order. If the data are in the event/trial format, the layout also has a plot of residuals versus the fits on the link scale.
Residuals versus the variables
Enter one or more variables to plot versus the residuals. You can plot the following types of variables:
• Variables that are already in the current model, to look for curvature in the residuals.
• Important variables that are not in the current model, to determine whether they are related to the response.