In: Statistics and Probability
The following time series shows the sales of a particular product over the past 12 months.
Month | Sales |
---|---|
1 | 105 |
2 | 135 |
3 | 120 |
4 | 105 |
5 | 90 |
6 | 120 |
7 | 145 |
8 | 140 |
9 | 100 |
10 | 80 |
11 | 100 |
12 | 110 |
(b)
Use α = 0.4 to compute the exponential smoothing forecasts for the time series. (Round your answers to two decimal places.)
Month t | Time Series Value
Yt |
Forecast
Ft |
---|---|---|
1 | 105 | |
2 | 135 | |
3 | 120 | |
4 | 105 | |
5 | 90 | |
6 | 120 | |
7 | 145 | |
8 | 140 | |
9 | 100 | |
10 | 80 | |
11 | 100 | |
12 | 110 |
(c)
Use a smoothing constant of α = 0.6 to compute the exponential smoothing forecasts. (Round your answers to two decimal places.)
Month t | Time Series Value
Yt |
Forecast
Ft |
---|---|---|
1 | 105 | |
2 | 135 | |
3 | 120 | |
4 | 105 | |
5 | 90 | |
6 | 120 | |
7 | 145 | |
8 | 140 | |
9 | 100 | |
10 | 80 | |
11 | 100 | |
12 | 110 |
b) At α = 0.4
Month | Sales, A(t) | Forecast, Ft = Ft-1 + α(At-1 - Ft-1) | |
1 | 105 | - | - |
2 | 135 | 105 | 105 |
3 | 120 | 105 + 0.4(135 - 105) | 117 |
4 | 105 | 117 + 0.4(120 - 117) | 118.2 |
5 | 90 | 118.2 + 0.4(105 - 118.2) | 112.92 |
6 | 120 | 112.92 + 0.4(90 - 112.92) | 103.75 |
7 | 145 | 103.75 + 0.4(120 - 103.75) | 110.25 |
8 | 140 | 110.25 + 0.4(145 - 110.25) | 124.15 |
9 | 100 | 124.15 + 0.4(140 - 124.15) | 130.49 |
10 | 80 | 130.49 + 0.4(100 - 130.49) | 118.29 |
11 | 100 | 118.29 + 0.4(80 - 118.29) | 102.98 |
12 | 110 | 102.98 + 0.4(100 - 102.98) | 101.79 |
c) At α = 0.6
Month | Sales | Forecast, Ft= Ft-1+ α(At-1- Ft-1) | |
1 | 105 | - | - |
2 | 135 | 105 | 105 |
3 | 120 | 105 + 0.6(135 - 105) | 123 |
4 | 105 | 123 + 0.6(120 - 123) | 121.2 |
5 | 90 | 121.2 + 0.6(105 - 121.2) | 111.48 |
6 | 120 | 111.48 + 0.6(90 - 111.48) | 98.59 |
7 | 145 | 98.59 + 0.6(120 - 98.59) | 111.44 |
8 | 140 | 111.44 + 0.6(145 - 111.44) | 131.57 |
9 | 100 | 131.57 + 0.6(140 - 131.57) | 136.63 |
10 | 80 | 136.63 + 0.6(100 - 136.63) | 114.65 |
11 | 100 | 114.65 + 0.6(80 - 114.65) | 93.86 |
12 | 110 | 93.86 + 0.6(100 - 93.86) | 97.54 |