In: Advanced Math
Please show the calculation process in Excel, thank you
With the gasoline time series data from Table 8.1, show the exponential smoothing forecasts using α=0.1.
Applying the MSE measure of forecast accuracy, would you prefer a smoothing
constant of α=0.1 or α=0.2 for the gasoline sales time series?
Are the results the same if you apply MAE as the measure of accuracy?
What are the results if MAPE is used?
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 |
Here complete Excel work is attached as per your requirement.
When applying for MSE for α=0.1 => 8.4817
for α=0.2 => 8.2337
For MSE α = 0.2 is preferred
But for applying MSE and MAPE α= 0.1 is preferred.
Please find the attached Excel work for MSE , MAE and MAPE.
If you like this please Thumbs up.
Thank you