1. 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:

      0.10.2

   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:

      0.10.2

   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:

      0.10.2