The distance between the Y value in the data and the predicted Y value 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 formula for the sum of the squared residuals is SS_residual = (1 - r²)(SS_Y). This formula takes into account the correlation between the predicted values and the actual values, which is represented by the correlation coefficient (r). The correct formula should use the Y values, not the X values, and should use the correct formula for calculating the sum of the squared residuals. Therefore, the best choice is D.

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