In Linear Regression, the Sum of the Differences Between the Actual

Multiple Choice

In linear regression, the sum of the differences between the actual Y scores and the predicted Y ' scores is.

A) normally distributed around the mean of Y
B) always equal to zero
C) the numerator of the slope of the regression equation
D) equal to the variance of the Y variable