Given the following data about the number of wrecks that have occurred at the intersection of green and main street during the past 6 months,
Jan (10)
Feb (15)
March (12)
April (20)
May (18)
June (25)
and a = 30, the simple exponential smoothing forecast method was employed.
Calculate the MAP for that questions process:
(enter the value as a % rounded to the nearest whole number. Do not use a decimal, words, symbols or other marks.
for exponential smoothing: next period forecast =α*last period actual+(1-α)*last period forecast |
Time period | Actual Value(A) | Forecast(F) | Forecast error E=A-F | Squared Forecast Error | MAPE |
1 | 10 | ||||
2 | 15 | 10.00 | 5.00 | 25.00 | 0.3333 |
3 | 12 | 11.50 | 0.50 | 0.25 | 0.0417 |
4 | 20 | 11.65 | 8.35 | 69.72 | 0.4175 |
5 | 18 | 14.16 | 3.85 | 14.78 | 0.2136 |
6 | 25 | 15.31 | 9.69 | 93.93 | 0.3877 |
Total | 27.39 | 203.68 | 1.39 | ||
Average | 5.48 | 40.74 | 27.88% | ||
MAD | MSE | MAPE |
from above: MAP for that questions process =28 %
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