With the gasoline time series data from Table, show the exponential smoothing forecasts using x = 0.1.
| Week |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
8 |
9 |
10 |
11 |
12 |
| Value |
17 |
21 |
19 |
23 |
18 |
16 |
20 |
18 |
22 |
20 |
15 |
22 |
a. Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of x = 0.1 or x = 0.2 for the gasoline sale time series.
b. Are the results the same if you apply MAE as the measure of accuracy?
c. What are the results if MAPE is used?