Use the same information as the previous question.

a) Create a regression model to forecast sales. Do this by creating a scatterplot with a regression equation and R^2 value. Also use the data analysis tool to create a Summary Output.

b) Use the regression model to create forecasted sales for the historical information.

c) Calculate a MAD score and tell me if this is a better forecast model than either of the forecast models in Problem 2. Explain why you make this claim.

d) create a forecast prediction for January.

	Month	Actual Shed Sales
1	January	10
2	February	12
3	March	13
4	April	16
5	May	19
6	June	23
7	July	26
8	August	30
9	September	28
10	October	18
11	November	16
12	December	14
13	January