Multiple Regression Examples

Multiple Regression Example 1

An M.B.A. program that was started two decades ago wanted to analyze the factors that affect student performance. The dean of the Rinker School of Business decided to build a multiple regression model where the dependent variable is the M.B.A. grade point average (GPA) for each of 100 randomly selected M.B.A. students who graduated in the past 3 years. The independent variables are the undergraduate GPA, the Graduate Management Admissions Test score (GMAT), and the number of years of work experience prior to entering the program.

Conduct a multiple regression analysis.
Briefly describe what the coefficients tell you.
Test to determine which independent variables affect the dependent variable. Use " = .05.
Assess the model's fit.
Can we infer at the 5% significance level that the regression model is valid in analyzing the variables that affect M.B.A. GPA?
Predict the M.B.A. GPA for an applicant whose undergraduate GPA is 8, GMAT score = 630, and who has worked for 5 years.