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.