Using Excel(Go to HW folder for That’s Entertainment excel sheet) and perform the following tasks:

1. Run a multiple regression model using all three variables simultaneously (TSLO, DOLL_CR, and NM_ORD) as your predictors and using the order indicator (ORDER) as the dependent variable.
2. Examine the output. Do you see any problems with the coefficients that may be due to multicollinearity? If so, run a correlation analysis to confirm. What do you notice?
3. If there is a problem with one of the variables being correlated with another, determine which variable to delete and rerun your model. Explain how you determined which variable to delete.
4. Once all issues of multicollinearity are taken care of, examine the p-values associated with your predictor coefficients and comment?
5. What is your final model?
6. Now do the same thing with the cars data set in SAS (from SASHelp library) with at least four variables as predictors and one dependent variable. Interpret results.