In: Operations Management
Refer to the gasoline sales time series data in the given
table.
Week
Sales (1000s of...
Refer to the gasoline sales time series data in the given
table.
| Week |
Sales (1000s of gallons) |
| 1 |
17 |
| 2 |
20 |
| 3 |
18 |
| 4 |
22 |
| 5 |
19 |
| 6 |
15 |
| 7 |
21 |
| 8 |
19 |
| 9 |
21 |
| 10 |
19 |
| 11 |
15 |
| 12 |
23 |
- Compute four-week and five-week moving averages for the time
series. If required, round your answers to two decimal
places.
Week |
Sales |
4 Period
Moving Average |
5 Period
Moving Average |
| 1 |
17 |
|
|
| 2 |
20 |
|
|
| 3 |
18 |
|
|
| 4 |
22 |
|
|
| 5 |
19 |
|
|
| 6 |
15 |
|
|
| 7 |
21 |
|
|
| 8 |
19 |
|
|
| 9 |
21 |
|
|
| 10 |
19 |
|
|
| 11 |
15 |
|
|
| 12 |
23 |
|
|
- Compute the MSE for the four-week and five-week moving average
forecasts. If required, round your intermediate calculations to
four decimal places and round your final answers to three decimal
places.
MSE for four-week moving average =
MSE for five-week moving average =
- What appears to be the best number of weeks of past data
(three, four, or five) to use in the moving average computation?
Recall that MSE for the three-week moving average is 10.519.