The adjusted multiple coefficient of determination is adjusted for the number of independent variables and the sample size.

Question

Quizplus · Accepted Answer

The adjusted multiple coefficient of determination, also known as adjusted R-squared, is a measure of how well a regression model fits the data, while taking into account the number of independent variables and the sample size. The adjusted R-squared value will be smaller than the regular R-squared value if there are many independent variables or a small sample size, which is why it is adjusted. Therefore, the statement is true.

The Adjusted Multiple Coefficient of Determination Is Adjusted for the Number