The R² statistic A)varies between -1 and 1. B)compares the regression sum of squares to the total sum of squares. C)accounts for the number of parameters in the regression model. D)is the ratio of the error sum of squares to the regression sum of squares.

Question

Quizplus · Accepted Answer

The R² statistic is the R-squared value in regression analysis, which compares the regression sum of squares to the total sum of squares. It is a measure of how well the regression model fits the data, and it varies between 0 and 1. Choices A, C, and D are incorrect definitions.

The R2 Statistic

The R² Statistic