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?

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Chapter2: Introduction To Spreadsheet Modeling
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I just need the last one please (: 

**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?
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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