With the gasoline time series data from the given table, show the exponential smoothing forecasts using = 0.1.

1. Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of = 0.1 or = 0.2 for the gasoline sales time series? Do not round your interim computations and round your final answers to three decimal places.

   	= 0.1	= 0.2
   MSE	fill in the blank 1	fill in the blank 2

   Prefer:
2. Are the results the same if you apply MAE as the measure of accuracy? Do not round your interim computations and round your final answers to three decimal places.

   	= 0.1	= 0.2
   MAE	fill in the blank 4	fill in the blank 5

   Prefer:
3. What are the results if MAPE is used? Do not round your interim computations and round your final answers to two decimal places.

   	= 0.1	= 0.2
   MAPE	fill in the blank 7 %	fill in the blank 8 %

   Prefer:

GASOLINE SALES TIME SERIES Week Sales (1000s of gallons) 1 2 3 4 17 21 19 23 18 16 20 6 7 8 9 10 11 12 22 20 15 22