Minitab provides a Pareto chart of the effects to visualize the results from the coefficient and ANOVA tables. For the terms in the model, this graph allows you to compare the relative magnitude of the effects and to evaluate their statistical significance. Minitab draws the Pareto chart when the model leaves at least 1 degree of freedom for error.

The threshold for statistical significance depends on the significance level (denoted by α or alpha). Unless you use a stepwise selection method, the significance level is 1 minus the confidence level for the analysis. For more information on how to change the confidence level, go to Select the options for Fit Regression Model. If you use backwards selection or stepwise selection, the significance level is the significance level where Minitab removes a term from the model, known as Alpha to remove. If you use forward selection, the significance level is the significance level where Minitab adds a term to the model, known as Alpha to enter. For more information on the choices for the stepwise methods, go to Perform stepwise regression for Fit Regression Model.

- 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.

- Residual Plots
- Use residual plots to examine whether your model meets the assumptions of the analysis. 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.
- 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.

- Four in one: Display all four residual plots together in one graph.

- Individual plots: Select the residual plots that you want to display.
- 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.