Calculate the 2-month Moving Average Forecast for sales from March/2019 to a) January/2019 and enter them in the table above. b) January/2020. Enter those values on the table above. c) Mean Absolute Percent Error (MAPE) for the 2-month Moving Average Forecast you created for Product X from March/2019 to January/2020. Calculate the Absolute Value of Error for every forecasted month, from March/2019 to - Calculate the Mean Absolute Deviation (MAD), the Mean Squared Error (MSE) and the - Create a table that shows the MAD, MSE and MAPE values you obtained for the Naïve d) Forecast and for the 2-month Moving Average Forecast. Which method would you recommend and why?
Calculate the 2-month Moving Average Forecast for sales from March/2019 to a) January/2019 and enter them in the table above. b) January/2020. Enter those values on the table above. c) Mean Absolute Percent Error (MAPE) for the 2-month Moving Average Forecast you created for Product X from March/2019 to January/2020. Calculate the Absolute Value of Error for every forecasted month, from March/2019 to - Calculate the Mean Absolute Deviation (MAD), the Mean Squared Error (MSE) and the - Create a table that shows the MAD, MSE and MAPE values you obtained for the Naïve d) Forecast and for the 2-month Moving Average Forecast. Which method would you recommend and why?
Practical Management Science
6th Edition
ISBN:9781337406659
Author:WINSTON, Wayne L.
Publisher:WINSTON, Wayne L.
Chapter2: Introduction To Spreadsheet Modeling
Section: Chapter Questions
Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...
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I just need the last one please (:

Transcribed Image Text:**Problem #2**
The table below shows the actual sales of Product X by Company Y from January to December of 2019, as presented in Problem #1.
| Month | Actual Sales (# of Product X) | 2-Month Moving Average Forecast - Sales (# of Product X) | Absolute Value of Errors |
|---------|-------------------------------|--------------------------------------------------------|--------------------------|
| Jan/19 | 1,860 | | |
| Feb/19 | 2,033 | | |
| Mar/19 | 3,556 | | |
| Apr/19 | 4,211 | | |
| May/19 | 6,250 | | |
| Jun/19 | 7,990 | | |
| Jul/19 | 10,250 | | |
| Aug/19 | 9,850 | | |
| Sep/19 | 9,980 | | |
| Oct/19 | 9,990 | | |
| Nov/19 | 7,895 | | |
| Dec/19 | 5,353 | | |
| Jan/20 | | | |
### Instructions
a) **Calculate the 2-month Moving Average Forecast** for sales from March/2019 to January/2019 and enter them in the table above.
b) **Calculate the Absolute Value of Error** for every forecasted month, from March/2019 to January/2020. Enter those values on the table above.
c) **Calculate the Mean Absolute Deviation (MAD), the Mean Squared Error (MSE),** and **the Mean Absolute Percent Error (MAPE)** for the 2-month Moving Average Forecast you created for Product X from March/2019 to January/2020.
d) **Create a table** that shows the MAD, MSE, and MAPE values you obtained for the Naïve Forecast and for the 2-month Moving Average Forecast. Which method would you recommend and why?
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