1. Create a correlation table that includes all of the variables in the dataset.

2. Add all of the independent variables to your regression model.

3. Test the model using Multiple Regression.

4. Remove any variables that are not significant and re-run the model.

5. Interpret the ß coefficients for each significant independent variable. What are

the greater practical implications of these results?

6.

Does the in-store demo program boost GoodBelly's sales? If so, for how long

does the lift in sales last? How does this compare with the placement of the

product on an end cap?

7. What other factors could affect the sale of Good Belly's products?

8. Based on your regression results, what recommendations would you make to

GoodBelly's management?