Consider the following gasoline sales time series data. Click on the datafile logo to reference the data. Week . Sales (1000s of gallons) 1 16 2. 22 3. 18 4. 23 5. 18 6. 17 7 21 8 17 9 21 10. 21 11 14...


Consider the following gasoline sales time series data. Click on the datafile logo to reference the data.



Week.Sales (1000s of gallons)


1                    16


2.                   22


3.                  18


4.                  23


5.                  18


6.                  17


7                   21


8                   17


9                   21


10.                21


11                  14


12                  23




Using a weight of 1/2 for the most recent observation, 1/3 for the second most recent observation, and  third the most recent observation, 1/6 compute a three-week weighted moving average for the time series (to 2 decimals). Enter negative values as negative numbers.






































































































































Week



Time-Series Value

Weighted Moving
Average Forecast


Forecast
Error




(Error)2

Total



b. Compute the MSE for the weighted moving average in part (a).
MSE =



Jun 07, 2022
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