Perform stepwise regression for Multiple Regression (Stepwise tab)

On the Stepwise tab of the Multiple Regression dialog box, select the stepwise regression method.

Stepwise removes and adds terms to the model for the purpose of identifying a useful subset of the terms. For more information, go to Basics of stepwise regression.

Specify the method that is used to fit the model.
  • Stepwise: This method starts with an empty model, or includes the terms you specified to include in the initial model or in every model. Then, Minitab adds or removes a term for each step. You can specify terms to include in the initial model or to force into every model. Minitab stops when all variables not in the model have p-values that are greater than the specified Alpha to enter value and when all variables in the model have p-values that are less than or equal to the specified Alpha to remove value.
  • Forward selection: This method starts with an empty model, or includes the terms you specified to include in the initial model or in every model. Then, Minitab adds the most significant term for each step. Minitab stops when all variables not in the model have p-values that are greater than the specified Alpha to enter value.
  • Backward selection: This method starts with all potential terms in the model and removes the least significant term for each step. Minitab stops when all variables in the model have p-values that are less than or equal to the specified Alpha to remove value.
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