Stat > Regression > Poisson Regression > Fit Poisson Model > Graphs
Generates various residual plots. You can use these plots to pinpoint factor/covariate patterns that are poorly fit by model or have a large influence on the estimated logistic regression coefficients.
Residuals for Plots: You can specify the type of residual to display on the residual plots. See Choosing a residual type. To choose between Deviance residuals and Pearson residuals, use Options.
Regular: Choose to plot the regular or raw residuals.
Standardized: Choose to plot the standardized residuals.
Deleted: Choose to plot the Studentized deleted residuals.
Residual Plots
Individual plots: Choose to display one or more plots.
Histogram of residuals: Check to display a histogram of the residuals.
Normal probability plot of the residuals: Check to display a normal probability plot of the residuals.
Residuals versus fits: Check to plot the residuals versus the fitted values.
Residuals versus order: Check to plot the residuals versus the order of the data. The row number for each data point is shown on the x-axis. For example, 1 2 3 4... n.
Four in one: Choose to display a layout of a histogram of residuals, a normal plot of residuals, a plot of residuals versus fits, and a plot of residuals versus order.
Residuals versus the variables: Enter one or more columns containing the variables against which you want to plot the residuals. Minitab displays a separate graph for each column.