The coefficient of determination is interpreted as the
A)amount of variance determined in all the Y scores.
B)determined amount of variance in all the Y scores.
C)degree to which the scores are efficient.
D)proportion of variance accounted for.

Question

Quizplus · Accepted Answer

The coefficient of determination is a measure of how well the regression line fits the data points. It represents the proportion of variance in the dependent variable (Y) that can be explained by the independent variable (X). Therefore, D is the best choice as it correctly states that the coefficient of determination is the proportion of variance accounted for.

The Coefficient of Determination Is Interpreted as the