Based on the data provided(attached), answer the questions in a report format using a word processor. Make sure to also comment on whether the regression assumptions are satisfied or not while answering the question. You can submit your Minitab files separately or embed them in your report.
All submissions are through the Project Dropbox on Angel and should include the relevant Minitab Express outputs. Once your work is complete, upload your file(s) and click on “Submit”. Note that you have not only to “Browse for Local File” and select the file, but also to “Attach File” and Upload the file so that is shows under “Uploaded Files”.

QUESTIONS:

1. Run a multiple regression on Minitab to predict WINPct using DEFypg, RUSHypg, PASSypg, and FGPct as your predictors. Comment on your findings.

2. Starting with the estimated regression you developed in part 1, delete any independent variables that are not significant and develop a new estimated regression equation that can be used to predict WINPct. Use a significance level of α=0.05. Comment on your findings.

3. Some football analysts believe that turnovers are a major factor in determining a team’s success. Let us define Takeaways = TakeINT + TakeFUM and Giveaways = GiveINT + GiveFUM and let TurnoverDif = Takeaways – Giveaways. Run a simple regression by using TurnoverDif to predict WINPct. Comment on the results and contrast them to those you from part 2.

4. Come up with a multiple regression model that uses all the relevant data and that best predicts WINPCT. Comment on your findings and contrast them to those from previous questions.