According to the multiple regression equation, the best prediction of the outcome variable (Ŷ) is equal to
A) the intercept plus the sum of all the predictor variables (X's), each multiplied by their regression coefficients.
B) the sum of all the predictor variables (X's), each multiplied by their regression coefficients.
C) the intercept minus the sum of all the predictor variables (X' s), each multiplied by their regression coefficients.
D) the intercept minus the sum of all the predictor variables (X's), each divided by their regression coefficients.

Question

Quizplus · Accepted Answer

The best prediction of the outcome variable (Ŷ) in a multiple regression equation is equal to the intercept plus the sum of all the predictor variables (X's), each multiplied by their respective regression coefficients. This accounts for the baseline value (intercept) and the weighted contribution of each predictor.

According to the Multiple Regression Equation, the Best Prediction of the Outcome