The following time series shows the sales of a particularproduct 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 smoothingforecasts for the time series. (Round your answers to two decimalplaces.)
| 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 theexponential smoothing forecasts. (Round your answers to two decimalplaces.)
| 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 | |
