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

Question

Quizplus · Accepted Answer

The adjusted R², also known as the adjusted R-squared, is a statistical measure used to determine the goodness of fit of a regression model. It takes into account the number of explanatory variables used in the model and adjusts the R-squared value accordingly. A higher adjusted R-squared value indicates that the model is a better fit for the data, and can be used to determine whether the addition of extra explanatory variables is necessary. Therefore, the statement is true.

The Adjusted R2 Is Used Primarily to Monitor Whether Extra

The Adjusted R² Is Used Primarily to Monitor Whether Extra