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Consider the following partially filled forecast table made by a consumer electronics retailer about the average number of employees in outlets. The forecast was made

Consider the following partially filled forecast table made by a consumer electronics retailer about the
average number of employees in outlets. The forecast was made by utilizing single exponential smoothing
method with an alpha ( ? ? ) = 0 . 1 . ?Answer the following question based on the time series plot and partially
completed table.
Year
Avg. no . ?of
employees Forecast
Absolute
Forecast
Error
1 2 0 . 6 0 2 0 . 6 0
2 1 7 . 3 0 2 0 . 6 0 3 . 3 0
3 1 8 . 6 0 2 0 . 2 7 1 . 6 7
4 2 1 . 5 0 2 0 . 1 0 1 . 4 0
5 2 3 . 2 0 2 0 . 2 4 2 . 9 6
6 1 9 . 9 0 2 0 . 5 4 0 . 6 4
7 1 8 . 7 0 2 0 . 4 7 1 . 7 7
8 1 5 . 6 0 2 0 . 3 0 4 . 7 0
9 1 9 . 7 0 1 9 . 8 3 0 . 1 3
1 0 2 0 . 4 0 1 9 . 8 1 0 . 5 9
1 1 ?
alpha = 0 . 1 ?SUM = 1 7 . 1 5
MAD = ?
a ) ?Based on the time series plot of actual values, does it appear that a linear trend exists in the time
series?
b ) ?Calculate the forecast for year 1 1 ?based on the smoothing constant ( alpha ) = 0 . 1 .
c ) ?Calculate the mean absolute deviation ( MAD ) ?for this forecasting model.
d ) ?Assume for alpha = 0 . 5 , ?the MAD equaled 2 . 3 5 . ?Which value of smoothing constant ( alpha = 0 . 1 ?vs
alpha = 0 . 5 ) ?would be more appropriate for forecasting?
1 5 . 0 0
2 0 . 0 0
2 5 . 0 0
1 2 3 4 5 6 7 8 9 1 0
Avg. no . ?of Employees
Year

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