The adjusted R² is used primarily to monitor whether extra explanatory variables really belong in a multiple regression model.

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The adjusted R², also known as the adjusted R-squared, provides a measure of the proportion of variance in the dependent variable that is explained by the independent variables in a multiple regression model. It takes into account the number of variables in the model and adjusts the R-squared value accordingly. A higher adjusted R-squared value indicates that more of the variability in the dependent variable is explained by the independent variables, suggesting that these variables are useful in the model. Therefore, the adjusted R-squared can be used to assess the usefulness of additional explanatory variables in a multiple regression model.

The Adjusted R2 Is Used Primarily to Monitor Whether Extra

The Adjusted R² Is Used Primarily to Monitor Whether Extra