Month | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
Value | 23 | 14 | 18 | 14 | 20 | 23 |
16 |
b. Develop the three-month moving average forecasts for this time series. Compute MSE and a forecast for month (to 2 decimals if necessary). Enter negative values as negative number.
c. Use alpha=.2 to compute the exponential smoothing forecasts for the time series. Compute MSE and a forecast for month (to 2 decimals). Enter negative values as negative number.
d. Compare the three-month moving average approach with the exponential smoothing approach using alpha=.2 . Which appears to provide more accurate forecasts based on MSE?
e. Use a smoothing constant of alpha=.4 to compute the MSE. (to 2 decimals).
b)
month | value | forecast | error | error^2 |
1 | 23 | |||
2 | 14 | |||
3 | 18 | |||
4 | 14 | 18.33 | -4.33 | 18.78 |
5 | 20 | 15.33 | 4.67 | 21.78 |
6 | 23 | 17.33 | 5.67 | 32.11 |
7 | 16 | 19.00 | -3.00 | 9.00 |
total | 81.67 | |||
average | 20.42 |
MSE =20.42
forecast =19.67
c)
month | value | forecast | error | error^2 |
1 | 23 | |||
2 | 14 | 23.00 | -9.00 | 81.00 |
3 | 18 | 21.20 | -3.20 | 10.24 |
4 | 14 | 20.56 | -6.56 | 43.03 |
5 | 20 | 19.25 | 0.75 | 0.57 |
6 | 23 | 19.40 | 3.60 | 12.97 |
7 | 16 | 20.12 | -4.12 | 16.96 |
total | 164.77 | |||
average | 27.46 |
MSE =27.46
forecast =19.29
d)
3 month moving average provides better,,,,,,,,,smaller MSE |
e)
MSE=26.04
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