With regard to the least squares procedure, any data point that does not fall on the regression line is the result of:
A) specific variance.
B) nonresidual variance.
C) unexplained variance.
D) sum of the squared errors.
E) multicollinearity.

Question

Quizplus · Accepted Answer

Any data point that does not fall on the regression line is the result of unexplained variance, which represents the variability in the dependent variable that cannot be explained by the independent variables in the model.

With Regard to the Least Squares Procedure, Any Data Point