Why is R² a commonly used and perhaps better measure of how well a regression model fit the data than the residual sum of squares (RSS)? A) The RSS is often too large B) The RSS does not depend on the scale of the dependent variable whereas the R² does C) The RSS depends on the scale of the dependent variable whereas the R² does not D) The RSS depends on the scale of the independent variable whereas the R² does not

Question

Quizplus · Accepted Answer

The correct choice is C because the residual sum of squares (RSS) depends on the scale of the dependent variable, which can make it difficult to compare model fits across datasets with different scales. The R², which appears to be a placeholder for a more commonly known statistic (possibly R-squared or adjusted R-squared), does not depend on the scale of the dependent variable, making it a more universal measure of model fit.

Why Is R2 a Commonly Used and Perhaps Better Measure

Why Is R² a Commonly Used and Perhaps Better Measure