The coefficient of determination explains:
A)the proportion of variance in Y that is determined or explained by X.
B)the proportion of variance in Y that is NOT determined or explained by X.
C)the proportion of variance in Y that is attributed to error.
D )the proportion of variance in X that is attributed to error.

Question

Quizplus · Accepted Answer

The coefficient of determination, often denoted as R^2, quantifies the proportion of the variance in the dependent variable (Y) that is predictable from the independent variable(s) (X). It essentially measures how well the regression predictions approximate the real data points.

The Coefficient of Determination Explains