Consider the following time series data:
Month 1 2 3 4 5 6 7
Value 24 13 21 14 20 23 15
(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:
The forecast for month 8:
b)
month | value | forecast | |error| | error^2 |
1 | 24 | |||
2 | 13 | |||
3 | 21 | |||
4 | 14 | 19.33 | -5.33 | 28.44 |
5 | 20 | 16.00 | 4.00 | 16.00 |
6 | 23 | 18.33 | 4.67 | 21.78 |
7 | 15 | 19.00 | -4.00 | 16.00 |
total | 82.22 | |||
average | 20.56 | |||
MSE= | 20.56 | |||
Forecast= | 19.33 |
c)
month | value | forecast | error | error^2 |
1 | 24 | |||
2 | 13 | 24.00 | -11.00 | 121.00 |
3 | 21 | 21.80 | -0.80 | 0.64 |
4 | 14 | 21.64 | -7.64 | 58.37 |
5 | 20 | 20.11 | -0.11 | 0.01 |
6 | 23 | 20.09 | 2.91 | 8.47 |
7 | 15 | 20.67 | -5.67 | 32.17 |
total | 220.66 | |||
average | 36.78 | |||
MSE= | 36.78 | |||
Forecast= | 19.54 |
The three-month moving average provides a better forecast since it has a smaller MSE |
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