The first is to estimate Carlson's historic market shares (monthly). Then project these market shares to Sep 2016-Dec 2016. You may use the following 1. (10 pts) Find the ratios of Carlson monthly sales to the county-wide department stores monthly sales. This is Carlson's historic market share. 2. (10 pts) Use pre-hurricane data (2012-Aug 2016) to fit a regression model to predict Carlson's market share ratios from Sep 2016 to Dec 2016. Report these monthly predictions. 3. (10 pts) Multiply the county monthly sales (Sep 2016 to Dec 2016) times the predicted Carlson's market share ratios. Report them along with their sum. Carlson can demand this from the insurance company. 4. (10 pts) The insurance company rejected this approach. Thus you will use a second approach (next page). For now, explain why was the claim not accepted (one-sentence only)