The proportion of the variability in the dependent variable that can be explained by the several independent variables in the regression model is known as the _____.
A) multiple coefficient of determination
B) standardized beta
C) correlation coefficient
D) Pearson's rho
E) VIF

Question

Quizplus · Accepted Answer

The multiple coefficient of determination (also known as R-squared) indicates the proportion of the variance in the dependent variable that can be accounted for by the independent variables in a multiple regression model. It ranges between 0 and 1, with higher values indicating a stronger relationship between the variables.

The Proportion of the Variability in the Dependent Variable That