The square of the correlation coefficient indicates the part of the total variance of Y that can be accounted for by X.

Question

Quizplus · Accepted Answer

This statement is true. The square of the correlation coefficient, also known as the coefficient of determination or R-squared, represents the proportion of variability in the dependent variable (Y) that can be explained by the independent variable (X). So, it indicates the percentage of the total variance in Y that can be accounted for by X.

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