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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
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 |
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