PLEASE HELP ASAP

A public university is conducting a statistical study to develop a regression equation to estimate the graduation rate considering the following variables: math SAT, verbal SAT, applications received, applications accepted, and percentage of new students from the top 10%. A random sample of 34 observations was recorded to conduct the regression analysis. The partial Minitab follows. Coefficients SE VIF Intercept -21.32 17.36 (X1) Math SAT 0.25 0.08 1.25 (X2) Verbal SAT -0.05 0.1 6.32 (X3) # Appli. rec'd 0.006 0.01 5.84 (X4) # Appli. accepted -0.002 0.0009 5.56 (X5) % new stud. from top 10% 0.09 0.14 5.63 I. Is there any concern about multicollinearity? a. Yes, there are predictors that are highly correlated b. Yes, there are predictors that are not highly correlated c. No, there are predictors that are highly correlated d. No, there are not predictors that are highly correlated e. None of these alternatives is correct The letter corresponding to your answer is:II. What would be your first step if you want to deal with multicollinearity? a. Eliminate X2 b. Eliminate X3 c. Eliminate X4 d. Eliminate X5 c. Eliminate X2, X3, X4, and X5, f. None of these alternatives is correct The letter corresponding to your answer is