Stepwise Regression Explained with Example and Application
Stepwise regression is a family of techniques used in regression analysis to automatically select a subset of predictor variables (independent variables) for inclusion in a model. It’s a method that aims to find the most parsimonious model. This model uses the fewest predictors while still explaining significant variance in the dependent variable. While historically popular, … Read more