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Fit Regression ModelStat > Regression > Regression > Fit Regression Model
Use Regression to fit least squares models when you have continuous and/or categorical predictors. You can:
The default model contains the variables that you enter in Continuous predictors and Categorical predictors. If you want to add interaction and polynomial terms, use the tools in the Model subdialog box.
Minitab stores the last model that you fit for each response variable. You can use the stored models to quickly generate predictions, contour plots, surface plots, overlaid contour plots, factorial plots, and optimized responses.
See Stored Model Overview for a discussion about how to use stored models.
Responses: Select the continuous variable(s) that you want to explain or predict with the predictors (X). The response is also called the Y variable. If there is more than one response variable, Minitab fits separate models for each response.
Continuous predictors: Select the continuous variables that explain changes in the response. The predictor is also called the X variable.
Categorical predictors: Select the categorical classifications or group assignments, such as a type of raw material, that explain changes in the response. The predictor is also called the X variable.