question- A business statistics professor at a college would like to develop a r

Question

question- A business statistics professor at a college would like to develop a regression model to predict the final exam scores for students based on their current GPAs, the number of hours they studied for the exam, the number of times they were absent during the semester, and their genders. Use the data given below to complete parts a through c.

a) Use technology to check for the presence of multicollinearity Find the variance inflation factor MIF) for each independent variable. Use x GPA, x2 Hours, x Absences, and x Gender, where x 1 if the gender is male, and x 0 otherwise Independent Variable VIF GPA Hours Absences (x3) Gender (Round to three decimal places as needed.)

Explanation / Answer

Variable               VIF

GPA                       1.243

Hours                    1.208

Absences            1.040

Gender                1.005

Equation

Y=51.47 + 8.05 x1 + 1.78 x2+ 0.00 x3 +0.00 x4

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