The distance between the y value in the data and the y value predicted from the regression equation is known as the residual. what is the value for the sum of the squared residuals

A. SS = r²(SS_x)

B. SS = (1-r²)(SS_x)

C. SS = r²(SS_y)

D. SS= (1-r²)(SS_y)

The residual sum is given in the picture below so it is D which is correct.

Ifound this on google “that means that the graph of a function with direct variation has these features: it is a straight line: because the slope is the ratio y/x = k. it passes through the origin (0,0): because y = kx = k (0) = 0.” i hope this you for what your looking for