Consider the following time series data:
Month 1 2 3 4 5 6 7
Value 23 13 21 13 19 21 17
b) | Develop a three-month moving average for this time series. Compute MSE and a forecast for month 8. |
If required, round your answers to two decimal places. Do not round intermediate calculation. | |
MSE: | |
The forecast for month 8: | |
(c) | Use α = 0.2 to compute the exponential smoothing values for the time series. Compute MSE and a forecast for month 8. |
If required, round your answers to two decimal places. Do not round intermediate calculation. | |
MSE: Forecast for month 8: |
e) | Use trial and error to find a value of the exponential smoothing coefficient α that results in the smallest MSE. |
If required, round your answer to two decimal places. | |
α = |
b)
month | value | forecast | |error| | error^2 |
1 | 23 | |||
2 | 13 | |||
3 | 21 | |||
4 | 13 | 19.00 | -6.00 | 36.00 |
5 | 19 | 15.67 | 3.33 | 11.11 |
6 | 21 | 17.67 | 3.33 | 11.11 |
7 | 17 | 17.67 | -0.67 | 0.44 |
19.00 | total | 58.66 | ||
average | 14.67 | |||
MSE= | 14.67 | |||
Forecast= | 19.00 |
c)
for exponential smoothing: next period forecast =α*last period actual+(1-α)*last period forecast |
month | value | forecast | error | error^2 |
1 | 23 | |||
2 | 13 | 23.00 | -10.00 | 100.00 |
3 | 21 | 21.00 | 0.00 | 0.00 |
4 | 13 | 21.00 | -8.00 | 64.00 |
5 | 19 | 19.40 | -0.40 | 0.16 |
6 | 21 | 19.32 | 1.68 | 2.82 |
7 | 17 | 19.66 | -2.66 | 7.05 |
total | 174.04 | |||
average | 29.01 | |||
MSE= | 29.01 | |||
Forecast= | 19.13 |
e)
alpha= 0.32
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