In multiple regression, an adjusted r² value can be used to help avoid adding more and more potentially collinear independent variables to the model.

Question

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Adjusted R² accounts for the number of predictors in the model, penalizing for adding variables that do not improve the model significantly, thus helping to avoid overfitting with collinear variables.

In Multiple Regression, an Adjusted R2 Value Can Be Used

In Multiple Regression, an Adjusted R² Value Can Be Used