The R2 of a regression measures how closely the predicted values match the actual values.

Question

Quizplus · Accepted Answer

The R2 (R-squared) value represents the proportion of the variance in the dependent variable that is explained by the independent variable(s) in the regression model. It is a measure of the goodness of fit of a regression model and represents the degree to which the observed values match the predicted values. Therefore, the statement is true.

The R2 of a Regression Measures How Closely the Predicted