1. Run a correlation analysis for the variables. Describe the sign and size of each relationship.
2. Run a regression of advertising and price on sales. Provide a brief narrative describing the results (e.g., model's explanatory power and significance; nature of each variable's relationship, impact, and significance per the outcome). Also, specify which variable (advertising or price) exhibits the greater impact on sales. Be sure to cite appropriate statistical output to support your statements.
3. Write out the model that would for predicting sales based on advertising and price.