The table below shows the lbs of ice cream sold at a local ice cream parlor for the previous 10 weeks. Assume you are helping the owner develop a weekly forecasting model.
| Week | lbs of ice cream |
| 1 | 110 |
| 2 | 122 |
| 3 | 108 |
| 4 | 110 |
| 5 | 121 |
| 6 | 114 |
| 7 | 103 |
| 8 | 112 |
| 9 | 117 |
| 10 | 108 |
Find the FIT for week 7, using an exponential smoothing with trend model, for the data using alpha of 0.2 along with a delta (δ) of 0.1. Assume an initial trend value (T1) of 1 and an initial forecast (F1) of 105.



Instead of beta, consider delta
For Period 2:
F = 110 + 0.2*(110-105) = 106.00
T = 1 + 0.1*(106 - 105 - 1) = 1.00
TAF = 106 + 1 = 107
| Period | Actual | F | T | TAF |
| 1 | 110 | 105.00 | 1.00 | |
| 2 | 122 | 106.00 | 1.00 | 107.00 |
| 3 | 108 | 109.20 | 1.22 | 110.42 |
| 4 | 110 | 108.96 | 1.07 | 110.03 |
| 5 | 121 | 109.17 | 0.99 | 110.16 |
| 6 | 114 | 111.53 | 1.13 | 112.66 |
| 7 | 103 | 112.03 | 1.06 | 113.09 |
| 8 | 112 | 110.22 | 0.78 | 111.00 |
| 9 | 117 | 110.58 | 0.73 | 111.31 |
| 10 | 108 | 111.86 | 0.79 | 112.65 |
For period 7, TAF = 113.09
The table below shows the lbs of ice cream sold at a local ice cream parlor...