The square of a correlation coefficient (r²) represents A) the amount of change that occurs in one variable associated with each unit change in the other variable. B) the joint reliability of two variables. C) the proportion of variance in one variable that can be accounted for by the other variable. D) the difference in standard deviation units of the means of two variables.

Question

Quizplus · Accepted Answer

The square of a correlation coefficient represents the proportion of variance in one variable that can be accounted for by the other variable. It ranges from 0 to 1, with 0 indicating no relationship and 1 indicating a perfect relationship. The larger the square of the correlation coefficient, the more of the variance in one variable can be explained or predicted by the other variable.

The Square of a Correlation Coefficient (R2) Represents

The Square of a Correlation Coefficient (R²) Represents