Applying the mse measure of forecast accuracy would you


Problem

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

1957_table.png

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 two decimal places.


= 0.1 = 0.2
MSE

Prefer: 0.2

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 two decimal places.


= 0.1 = 0.2
MAE

Prefer: 0.1

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 % %

Prefer: 0.1

GASOLINE SALES TIME SERIES Week Sales (1000s of gallons) 17 21 23 18 16 20 18 20 15 10 12

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