Stepwise regression is described as ...

Stepwise regression is described as ...

• A. A method in which variables are entered based on a statistical criterion, and after entry all variables in the model are reassessed for removal.
• B. A method where variables are chosen randomly.
• C. All variables are entered at once and kept.
• D. It only tests single predictor models.

Answer: (B)

Stepwise regression is a systematic variable selection procedure in which candidate predictors are added to or removed from the model based on a predefined statistical criterion. As each variable is considered, the model is re-estimated and all included predictors are reevaluated to decide whether any should be removed or whether a new variable should be added. This process continues until no remaining variables meet the criterion for addition or removal. It is not about random selection, it does not force all predictors into the model at once, and it is not limited to single-predictor models.

Stepwise regression is a systematic variable selection procedure in which candidate predictors are added to or removed from the model based on a predefined statistical criterion. As each variable is considered, the model is re-estimated and all included predictors are reevaluated to decide whether any should be removed or whether a new variable should be added. This process continues until no remaining variables meet the criterion for addition or removal. It is not about random selection, it does not force all predictors into the model at once, and it is not limited to single-predictor models.