The table below shows the results of two methods (Forecast 1 and Forecast 2) of forecasting for frozen prepared dinners, as well as the demand for the five periods. |
PREDICTED DEMAND |
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Period | Demand | F1 | F2 |
1 | 68 | 67 | 65 |
2 | 75 | 72 | 64 |
3 | 70 | 72 | 70 |
4 | 74 | 67 | 70 |
5 | 69 | 75 | 74 |
6 | 72 | 67 | 79 |
7 | 80 | 74 | 77 |
8 | 78 | 73 | 81 |
a. |
Compare the accuracy of Forecast 1 and Forecast 2 by calculating the Mean Absolute Deviation for each one. Which is more accurate? (Round your answers to 2 decimal places.) |
MAD F1 | |
MAD F2 | |
(F1, F2, or None) appears to be more accurate. |
b. |
Compare the accuracy of Forecast 1 and Forecast 2 by calculating the Mean Squared Error for each one. Which is more accurate? (Round your answers to 2 decimal places.) |
MSE F1 | |
MSE F2 | |
|
c. |
Managers can use either of these error methods to compare forecasts. In what situation would someone use MAD? MSE? Hint: MSE goes with control charts; MAD goes with tracking signals. |
Either one might already be in use, familiar to users, and have past values for comparison. If (tracking signals OR control charts) are used, MSE would be natural; if (tracking signals OR control charts) are used, MAD would be more natura |
d. |
Compare the accuracy of Forecast 1 and Forecast 2 by calculating the Mean Absolute Percent Error for each one. Which is more accurate? (Round your intermediate calculations to 2 decimal places and and final answers to 2 decimal places.) |
MAPE F1 | |
MAPE F2 | |
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