The distance between the Y value in the data and the Y value predicted from the regression equation is know as the residual.What is the value for the sum of the squared residuals? A)SS_residual = r²(SS_X) B)SS_residual = (1 - r²)(SS_X) C)SS_residual = r²(SS_Y) D)SS_residual = (1 - r²)(SS_Y)

Question

Quizplus · Accepted Answer

The sum of squared residuals is calculated as (1 - r²)(SS_Y), where r² is the coefficient of determination and SS_Y is the total sum of squares for the Y variable.

The Distance Between the Y Value in the Data and the Y