The distance between the Y value in the data and the predicted Y value from the regression equation is known as the residual.What is the value for the sum of the squared residuals?
A) $S S _ { \text {residual } }$ = r²(SS?)
B) $S S _ { \text {residual } }$ = (1 - r²)(SS?)
C) $S S _ { \text {residual } }$ = r²(SS?)
D) $S S _ { \text {residual } }$ = (1 - r²)(SS?)

Question

Quizplus · Accepted Answer

The sum of the squared residuals is equal to (1 - r²)(SS?), where SS? is the sum of squares for the dependent variable.

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