Stepwise regression is a statistical technique that is always implemented when developing a regression model to fit a nonlinear relationship between the dependent and potential independent variables.

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Stepwise regression is not always implemented for fitting a nonlinear relationship between the dependent and independent variables. It is typically used for selecting the most important independent variables to include in the model based on their statistical significance and effect size. Nonlinear relationships can be modeled using other techniques, such as quadratic or cubic regression.

Stepwise Regression Is a Statistical Technique That Is Always Implemented