The regression R2 is a measure of
A)whether or not X causes Y.
B)the goodness of fit of your regression line.
C)whether or not ESS TSS.
D)the square of the determinant of R.

Question

The regression R2 is a measure of
A)whether or not X causes Y.
B)the goodness of fit of your regression line.
C)whether or not ESS > TSS.
D)the square of the determinant of R.

Quizplus · Accepted Answer

The regression R2 is a measure of the goodness of fit of your regression line, or how well the line fits the observed data. It ranges from 0 to 1, with 1 indicating a perfect fit. Other choices are not correct: whether or not X causes Y is a causal relationship, not related to R2; ESS (explained sum of squares) compares the fitted model to a null model and is used in F-tests, but is not equivalent to R2; and the square of the determinant of R is not related to a regression R2.

The Regression R2 Is a Measure of