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

Question

Quizplus · Accepted Answer

In linear regression, the sum of the residuals (differences between the actual Y scores and the predicted Y' scores) is always equal to zero. This is a property of the least squares method used to estimate the parameters of the linear regression model.

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