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Module 9 Homework MINDTAP work Exercise 17.08 Algorithmic Consider the following gasoline sales time series data. Click on th
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E | MINDTAP moving average? 20
Module 9 Homework MINDTAP work Exercise 17.08 Algorithmic Consider the following gasoline sales time series data. Click on the datafile logo to reference the data. Week Sales (1000s of gallons) 18 21 18 24 18 16 20 17 21 21 14 21 8 10 12 a. Using a weight of 7 for the most recent observation, for the second most recent observation, and third the m average for the time series (to 2 decimals). Enter negative values as negative numbers. Weighted Moving Average Forecast Forecast Week Time-Series Value (Error)2 Error 2,087 20
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E | MINDTAP moving average? 20
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Answer #1

We have done all the calculations in excel sheet

Following are the excel formulas we used in excel sheet for calculating weighted moving average, error and mean error square.

MAD MAPE Microsoft Excel Home Insert Page Layout Formulas Data ReviewViewXLSTAT File Define Name ▼ Trace Precedents Show Form

Following is the result obtained:

ErrorA2 Week Time-Series Value Weighted Moving Average Forecast Forecast Error (Actual -Forecast) 18 21 18 24 18 16 20 17 21

Please note blue values are the answers for Part a)

Answer b)

MSE = 13.74 (Please check the red text in Error^2 column of result table.

Since MSE of unweighted moving average (11.43) is less than MSE of weighted moving average (13.74), so we prefer unweighted moving average.

Prefer the unweighted moving average here; it has a smaller MSE.

Answer c)

You could always find a weighted moving average at least as good as the unweighted one; actually the unweighted moving average is a special case of the weighted ones where the weights are equal.

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