May I please get help in answering the following homework practice question? Thank you. Data has been gathered to explain executive salaries from a variety of factors. Excel Data here: https://1drv.ms/x/s!AgBqCw3o5WRbhPhhCYR0iErIeSQ8YA Show Multiple Regression to predict SALARY from EXPerience, EDUCation, GENDER, NUMberSupported and ASSETS. a) What is the regression equation? Write an interpretation of the regression equation for each of the independent variables. b) Calculate the coefficient of determination and interpret its value. c) State the hypotheses to test for the significance of the independent factors. Using t-tests, at alpha= 0.05 determine which factors are significantly related to Executive SALARY d) Does the equation meet the Model Assumptions. How did you determine this? e) Does this model have multi-collinearity issues? How did you determine this? f) If you were to recommend a new model , what wouuld it be and why