Regression analysis is a business analysist tool for predicting. We will use it to predict future sales based on our marketing plan and budget. First we need to know the best use of GoodBelly$$s marketing budget. Next you will need to decide how many marketing deployments your budget can afford. Finally, your team will have predicted future unit sales for Goodbelly.

Statistics Objective:

Separate and Count the number of marketing deployments GoodBelly used in the data set.

Conduct Correlation and regression analysis to determine the best combination of sales tactics.

Provide me with your equation for sales prediction using regression.

Using the average monthly mean, provide a target marketing demonstration allocation. $($how many times do we use sales rep or demo or endcap$)$

Provide the total expected sales for the month and year.

Combine with the optimal price target from the last assignment to calculate revenue.

For this assignment, it is very important that you follow the BOOK. It has all the details you need to find these answers. I understand the regression table is full of data, but I am only looking for you to understand and find the optimal use of GoodBelly$$s budget. So what is the best promotion combination and use that to tell me how much we can expect to sell.