Select the graphs to display for Binary Fitted Line Plot

Stat > Regression > Binary Fitted Line Plot > Graphs
Binary fitted line plot
Display observed proportions
Display points on the graph for the original data.
Display confidence interval
Display confidence interval bands about the fitted line at the confidence level you specified in the Options sub-dialog box.
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.
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