Given is a historical time series for job services demand in the
prior 6 months.
Month |
Demand |
1 |
24 |
2 |
18 |
3 |
23 |
4 |
23 |
5 |
18 |
6 |
19 |
a) The MAE based on the Exponential smoothing α = 0.2 method
= (4 decimal places)
b) The MAE based on the 3 months moving average method = (in 4
decimal places)
c) Use MAE as an criterion to evaluate forecasting methods I
(exponential smoothing, α = 0.2 ) and II (3 month moving average).
The most accurate forecasting methods between I and II is
method (enter I or II)
a)
Time period | Actual Value(A) | Forecast(F) | Forecast error E=A-F | Squared Forecast Error |
1 | 24 | |||
2 | 18 | 24.00 | 6.00 | 36.00 |
3 | 23 | 22.80 | 0.20 | 0.04 |
4 | 23 | 22.84 | 0.16 | 0.03 |
5 | 18 | 22.87 | 4.87 | 23.74 |
6 | 19 | 21.90 | 2.90 | 8.40 |
Total | 14.13 | 68.20 | ||
Average | 2.83 | 13.6396 | ||
MAD | MSE |
from above MAE =13.6396
b)
3 week | ||||
Time period | Actual Value(A) | Moving avg. Forecast(F) | Forecast error E=|A-F| | Squared Forecast Error |
1 | 24 | |||
2 | 18 | |||
3 | 23 | |||
4 | 23 | 21.67 | 1.33 | 1.78 |
5 | 18 | 21.33 | 3.33 | 11.11 |
6 | 19 | 21.33 | 2.33 | 5.44 |
Total | 7.00 | 18.33 | ||
Average | 2.33 | 6.1111 | ||
MAD | MSE |
MAE =6.1111
c)
II
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