In contrast to stepwise regression, backward elimination is an iterative model selection procedure that begins with all potential independent variables and then attempts to remove them one at a time based on the p-value of the independent variable.

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Backward elimination attempts to remove all potential independent variables one at a time.

In Contrast to Stepwise Regression, Backward Elimination Is an Iterative