The square of the correlation coefficient indicates the part of the total variance of dependent variable that can be accounted for by the independent variable.

Question

Quizplus · Accepted Answer

This statement is true. The square of the correlation coefficient (also known as the coefficient of determination) represents the proportion of variance in the dependent variable that is explained by the independent variable, or the amount of variance that is shared by the two variables.

The Square of the Correlation Coefficient Indicates the Part of the Total