In a multiple regression model, R-square can be computed by squaring the highest correlation coefficient between the dependent variable and any independent variable.

Question

Quizplus · Accepted Answer

R-square in a multiple regression model is computed as the proportion of the variance in the dependent variable that is predictable from the independent variables, not by squaring the highest correlation coefficient between the dependent variable and any independent variable.

In a Multiple Regression Model, R-Square Can Be Computed by Squaring