With the gasoline time series data from the given table, show the exponential smoothing forecasts using = 0.1.
Week | Sales (1000s of gallons) |
1 | 17 |
2 | 21 |
3 | 19 |
4 | 23 |
5 | 18 |
6 | 16 |
7 | 20 |
8 | 18 |
9 | 22 |
10 | 20 |
11 | 15 |
12 | 22 |
= 0.1 | = 0.2 | |
MSE |
= 0.1 | = 0.2 | |
MAE |
= 0.1 | = 0.2 | |
MAPE |
a. {:[14quad" Alpha "=0.1quad" Alpha "=0.2],[15" MSE "],[9.25],[8.98]:} Alpha = 0.2 ... See the full answer