The statistical procedure that produces predictions with the lowest sum of squared differences between actual and predicted values in a regression equation is called:
A) SPSS.
B) unexplained variance.
C) ordinary least squares.
D) the slope.
E) regression coefficient.

Question

Quizplus · Accepted Answer

Ordinary least squares is a statistical procedure that produces predictions with the lowest sum of squared differences between actual and predicted values in a regression equation.

The Statistical Procedure That Produces Predictions with the Lowest Sum