Asked Jan 15, 2020

Regarding multiple linear regression analysis: 

a. What sum of squares is made as small as possible when finding the best-fitting plane based on the method of least squares?

b. What do we call the best-fitting plane that is obtained by the method of least squares?

c. What do we call the act of using a multiple linear regression equation to make predictions for values of the predictor variables that are outside the region of the observed values of the predictor variables?


Expert Answer

Step 1

a. The sum of squares of residuals (error) should be made as small as possible when finding the best-fitting plane based on the method of least squares. The best fitting line of the plane has minimum error between line of the plan...

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