In: Statistics and Probability
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 | 17 | 
| 6 | 16 | 
| 7 | 22 | 
| 8 | 17 | 
| 9 | 23 | 
| 10 | 21 | 
| 11 | 14 | 
| 12 | 22 | 
Week  | 
Sales  | 
4-Week Moving Average  | 
5-Week Moving Average  | 
| 1 | 17 | ||
| 2 | 20 | ||
| 3 | 18 | ||
| 4 | 22 | ||
| 5 | 17 | ||
| 6 | 16 | ||
| 7 | 22 | ||
| 8 | 17 | ||
| 9 | 23 | ||
| 10 | 21 | ||
| 11 | 14 | ||
| 12 | 22 | 
a) Fromt the givend ata
| Week | Sales | 4 Week Moving Aveages | 5 Week Moving Averages | 
| 1 | 17 | ||
| 2 | 20 | ||
| 3 | 18 | ||
| 4 | 22 | ||
| 5 | 17 | 19.25 | |
| 6 | 16 | 19.25 | 18.80 | 
| 7 | 22 | 18.25 | 18.60 | 
| 8 | 17 | 19.25 | 19.00 | 
| 9 | 23 | 18.00 | 18.80 | 
| 10 | 21 | 19.50 | 19.00 | 
| 11 | 14 | 20.75 | 19.80 | 
| 12 | 22 | 18.75 | 19.40 | 
b) MSE for 4 Week moving averages:
| Week | Sales | 4 Week Moving Aveages | Absolute Error | Error^2 | 
| 1 | 17 | |||
| 2 | 20 | |||
| 3 | 18 | |||
| 4 | 22 | |||
| 5 | 17 | 19.25 | 2.25 | 5.0625 | 
| 6 | 16 | 19.25 | 3.25 | 10.5625 | 
| 7 | 22 | 18.25 | 3.75 | 14.0625 | 
| 8 | 17 | 19.25 | 2.25 | 5.0625 | 
| 9 | 23 | 18 | 5 | 25 | 
| 10 | 21 | 19.5 | 1.5 | 2.25 | 
| 11 | 14 | 20.75 | 6.75 | 45.5625 | 
| 12 | 22 | 18.75 | 3.25 | 10.5625 | 
| Total: | 28 | 118.125 | 
MSE of 4 Week moving average is 118.125/8 = 14.7656
and
MSE for 5 Week moving averages:
| Week | Sales | 5 Week Moving Aveages | Absolute Error | Error^2 | 
| 1 | 17 | |||
| 2 | 20 | |||
| 3 | 18 | |||
| 4 | 22 | |||
| 5 | 17 | |||
| 6 | 16 | 18.80 | 2.8 | 7.84 | 
| 7 | 22 | 18.60 | 3.4 | 11.56 | 
| 8 | 17 | 19.00 | 2 | 4 | 
| 9 | 23 | 18.80 | 4.2 | 17.64 | 
| 10 | 21 | 19.00 | 2 | 4 | 
| 11 | 14 | 19.80 | 5.8 | 33.64 | 
| 12 | 22 | 19.40 | 2.6 | 6.76 | 
| Total: | 22.8 | 85.44 | 
MSE of 5 Week moving average is 85.44/7 = 12.2057
c) since MSE of 5 week moving average is smaller than that of 4 week moving average and also 3 week moving average (12.87)
Therefoore, 5 Week moving average is best method to predict the future value for this given data