Refer to the gasoline sales time series data in the given table.   Week Sales (1,000s of gallons) 1 18 2 22 3 15 4 26 5 18 6 17 7 21 8 19 9 22 10 18 11 17 12 21     (a) 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 18     2 22     3 15     4 26     5 18     6 17     7 21     8 19     9 22     10 18     11 17     12 21         (b) Compute the MSE for the four-week and five-week moving average forecasts.   If required, round your final answers to three decimal places.   MSE for four-week moving average =    MSE for five-week moving average =       (c) What appears to be the best number of weeks of past data (three, four, or five) to use in the moving average computation? Consider that the MSE for the three-week moving average is 11.407.

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Chapter4: Linear Functions
Section4.3: Fitting Linear Models To Data
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Refer to the gasoline sales time series data in the given table.

 

Week Sales (1,000s of gallons)
1 18
2 22
3 15
4 26
5 18
6 17
7 21
8 19
9 22
10 18
11 17
12 21

 

 

(a) 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 18    
2 22    
3 15    
4 26    
5 18    
6 17    
7 21    
8 19    
9 22    
10 18    
11 17    
12 21    
   
(b) Compute the MSE for the four-week and five-week moving average forecasts.
  If required, round your final answers to three decimal places.
  MSE for four-week moving average = 
  MSE for five-week moving average =  
   
(c) What appears to be the best number of weeks of past data (three, four, or five) to use in the moving average computation? Consider that the MSE for the three-week moving average is 11.407.
   

 

 
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