With the gasoline time series data from the given table, show the exponential smoothing forecasts using = 0.1. (a) 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 Prefer: - Select your answer -0.10.2 Item 3 (b) 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 Prefer: - Select your answer -0.10.2 Item 6 (c) 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: - Select your answer -0.10.2 Item 9

With the gasoline time series data from the given table, show the exponential smoothing forecasts using = 0.1. (a) Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant...

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

(a)	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

Prefer: - Select your answer -0.10.2 Item 3

(b)	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

Prefer: - Select your answer -0.10.2 Item 6

(c)	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: - Select your answer -0.10.2

Item 9

May 26, 2022