Following are time-series data for ten different periods. Use exponential smoothing to forecast the values for periods 3 through 10. Use the value for the first period as the forecast for the second period. Compute forecasts using α = 0.1. Compute the MAD and MSE.
Time period | Value |
1 | 27 |
2 | 31 |
3 | 58 |
4 | 63 |
5 | 59 |
6 | 66 |
7 | 71 |
8 | 86 |
9 | 101 |
10 | 97 |
Group of answer choices
A) MAD=296.6, MSE=1266.5
B) MAD=296.6 , MSE=11398.5
C) MAD=32.9, MSE=1266.5
D) MAD=32.9, MSE=11398.5
for exponential smoothing: next period forecast =α*last period actual+(1-α)*last period forecast |
period | value | forecast | error | error^2 |
1 | 27 | |||
2 | 31 | 27.00 | 4.000 | 16.000 |
3 | 58 | 27.40 | 30.600 | 936.360 |
4 | 63 | 30.46 | 32.540 | 1058.852 |
5 | 59 | 33.71 | 25.286 | 639.382 |
6 | 66 | 36.24 | 29.757 | 885.503 |
7 | 71 | 39.22 | 31.782 | 1010.074 |
8 | 86 | 42.40 | 43.603 | 1901.265 |
9 | 101 | 46.76 | 54.243 | 2942.319 |
10 | 97 | 52.18 | 44.819 | 2008.728 |
11 | 56.66 | |||
average | 32.9 | 1266.5 | ||
MAE | MSE |
option C is correct :MAD =32.9 ; MSE =1266.5
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