In a multiple regression, R squared indicates
A) the effect size.
B) the test of the significance of R.
C) the residual degrees of freedom.
D) the proportion of the variance in the outcome variable that is accounted for by the predictor variables.

Question

Quizplus · Accepted Answer

R squared in a multiple regression model represents the proportion of the variance in the dependent (outcome) variable that can be explained by the independent (predictor) variables. It is a measure of how well the model fits the data.

In a Multiple Regression, R Squared Indicates