The file Assignment 2 data.xlsx contains hypothetical starting salaries for MBA students directly after graduation. The file also lists their years of experience prior to the MBA program and their class rank in the MBA program (on a 0-100 scale- this not a categorical Variable) Estimate the regression equation with Salary as the dependent variable and Experience and Class Rank as the explanatory (independent) variables. What does this equation imply? What does the standard error of estimate tell you? What about ?   Repeat part a, but now include the interaction term Experience*ClassRank in the equation as well as Experience and Class Rank individually. Answer the same questions as in part a.

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The file Assignment 2 data.xlsx contains hypothetical starting salaries for MBA students directly after graduation. The file also lists their years of experience prior to the MBA program and their class rank in the MBA program (on a 0-100 scale- this not a categorical Variable)

  1. Estimate the regression equation with Salary as the dependent variable and Experience and Class Rank as the explanatory (independent) variables. What does this equation imply? What does the standard error of estimate tell you? What about ?

 

  1. Repeat part a, but now include the interaction term Experience*ClassRank in the equation as well as Experience and Class Rank individually. Answer the same questions as in part a.

 

What evidence in there that this extra variable (the interaction variable) is worth including? Why might you expect the interaction to be present in real data of this type?

 

Please submit the excel file of solution including results interpretation in

 “Assignment #2” folder.

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