A decision maker has five potential independent variables with which to build a regression model to explain the variation in the dependent variable. At step 1, variable x3 enters the regression model. Which of the following indicates which of the four remaining independent variables will be next to enter the model?
A) The variable that has the next highest correlation with the dependent variable
B) The variable that will provide the next largest value for the slope coefficient
C) The variable with the highest coefficient of partial determination
D) Can't be determined without seeing the correlation matrix.

Question

Quizplus · Accepted Answer

The variable with the highest coefficient of partial determination will be next to enter the model because it indicates the variable that, after accounting for variables already in the model, explains the most additional variance in the dependent variable.

A Decision Maker Has Five Potential Independent Variables with Which