The Sum of Squared Errors Is the Sum of

Multiple Choice

The sum of squared errors is the sum of

A) each score on the criterion variable minus the predicted score,squared.
B) each squared score on the criterion variable minus each squared predicted score.
C) each score on the predictor variable minus the predicted score,squared.
D) each squared score on the predictor variable minus each squared predicted score.