Actual sales for January through April are shown below:
Observation | Month | Actual Sales (A) | Forecasted Sales (F) |
1 | January | 18 | |
2 | February | 23 | |
3 | March | 20 | |
4 | April | 16 | |
5 | May |
a. Use exponential smoothing with α = 0.2 to calculate
smoothed averages and forecast sales for May from the above data.
Assume the forecast for the initial period (January) is 18.
b. Calculate MSE, and MAPE.
a)
b)
Observation | Month | Actual Sales (A) | Forcasted Sales (F) | |Error| | (Error)2 | % error |
1 | January | 18 | 18 | 0 | 0 | 0 |
2 | February | 23 | 18 | 5 | 25 | 100*5/23 = 21.7% |
3 | March | 20 | 19 | 1 | 1 | 100*1/20 = 5% |
4 | April | 16 | 19.2 | 3.2 | 10.24 | 3.2*100/16 = 20% |
5 | May | 18.56 | total = 36.24 | total = 46.7% |
MSE = 36.24 / 4 = 9.06 [divided by 4 as 4 observations]
MAPE =Sum of [ Error * 100 / actual sale ] / no.of observations = 46.7% /4 = 11.7%
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