Given is a historical time series for job services demand in the
prior 6 months.
Month |
Demand |
1 |
20 |
2 |
16 |
3 |
17 |
4 |
19 |
5 |
19 |
6 |
19 |
a) The MAD based on the Exponential smoothing α = 0.3 method
= (4 decimal places).
b) The MAD based on the 3 months moving average method
= (in 4 decimal places).
c) The MSE based on the 3 months moving average method = .
d) Use MAD as an criterion to evaluate forecasting methods I
(exponential smoothing, α = 0.3) and II (3 month moving average).
The most accurate forecasting methods between I and II is method
= (select to type in as I or II).
e) Month 4 Forecast based on the Exponential smoothing α = 0.2
method = (4 decimal places).
f) Month 6 Forecast based on 3 months moving average method = (4
decimal places).
a)
Month | Demand | forecast exponential | abs(error) |
1 | 20 | 20 | |
2 | 16 | 20 | 4 |
3 | 17 | 18.8 | 1.8 |
4 | 19 | 18.26 | 0.74 |
5 | 19 | 18.482 | 0.518 |
6 | 19 | 18.6374 | 0.3626 |
MAD | 1.48412 |
MAD = 1.4841
b)
Month | Demand | forecast MA | abs(error) | error^2 |
1 | 20 | |||
2 | 16 | |||
3 | 17 | |||
4 | 19 | 17.66666667 | 1.333333 | 1.777778 |
5 | 19 | 17.33333333 | 1.666667 | 2.777778 |
6 | 19 | 18.33333333 | 0.666667 | 0.444444 |
MAD | MSE | |||
1.222222 | 1.666667 |
MAD = 1.2222
c)
MSE = 1.6667
d)
MAD for moving average is less than Exponential
hence II
e)
using alpha = 0.2
forecast = 18.8771
f)
forecast using 3 MA = 19
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