The coefficient of determination indicates
A) the proportion of variance accounted for by the correlation coefficient.
B) whether the null hypothesis can be rejected.
C) whether the correlation is positive or negative.
D) whether the population has been randomly sampled.

Question

Quizplus · Accepted Answer

The coefficient of determination, often denoted as R^2, quantifies the proportion of the variance in the dependent variable that is predictable from the independent variable(s). It is a measure of how well the regression line approximates the real data points. In other words, it indicates the proportion of the variance in the dependent variable that is explained by the independent variable(s), which is directly related to the correlation coefficient squared (hence, accounted for by the correlation coefficient).

The Coefficient of Determination Indicates