Web Reference: Sep 30, 2023 · Learn the differences between multiple regression and stepwise regression, and discover when to use each method to build the best predictive models in business analytics and scientific research. In this section, we learn about the stepwise regression procedure. Stepwise regression is a special case of hierarchical regression in which statistical algorithms determine what predictors end up in your model. This approach has three basic variations: forward selection, backward elimination, and stepwise. In forward selection, the model starts with no predictors and successively enters significant predictors unt...
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