The correct answer was C) The standard error of estimate of a regression equation measures the degree of variability between the actual and estimated Y-values. The SEE may also be referred to as the standard error of the residual or the standard error of the regression. The SEE is equal to the square root of the mean squared error. Expressed in a formula, SEE = √SSE / (n-2) = √.0039 / (60-2) = .0082 |