Which of the following statements best describes the coefficient of determination?
A) It is a number constrained between -1.00 and 1.00
B) It is a number that varies from 0 to positive infinity
C) It is a number between 0 and 1.00
D) It is a percentage that represents the proportion of error variance explained by your independent variable.

Question

Quizplus · Accepted Answer

The coefficient of determination, also known as R-squared, is a number between 0 and 1.00 that represents the proportion of variance in the dependent variable that is explained by the independent variable(s). It is commonly used as a measure of the goodness of fit for a regression model.

Which of the Following Statements Best Describes the Coefficient of Determination