Question: sets or torecasts are as rollows: table [ [ , , PREDICTED ] , [ Period , Demand,F 1 , D 2 ] ,

sets or torecasts are as rollows:
\table[[,,PREDICTED],[Period,Demand,F1,D2],[1,68,66,66],[2,75,68,68],[3,70,72,70],[4,74,71,72],[5,69,72,74],[6,72,70,76],[7,80,71,78],[8,78,74,80],[,,,]]
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Compute mean forecast error (MFE) for each set of forecasts and determine which forecast is more accurate.
Tip: To set this problem up in Excel, create a column for Demand. Next to it, put the F1 forecast column. Next to that, create a co calculate error (Actual minus Forecast, in this case, Demand - F1). Then create an F2 forecast column, and next to that, a col calculate error for the difference between Demand and F2.
Round your final answers to 1 decimal.
MFE for F1=
MFE for F2=
Which forecast method appears more accurate?
F1
F2
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 sets or torecasts are as rollows: \table[[,,PREDICTED],[Period,Demand,F1,D2],[1,68,66,66],[2,75,68,68],[3,70,72,70],[4,74,71,72],[5,69,72,74],[6,72,70,76],[7,80,71,78],[8,78,74,80],[,,,]] Click here for the

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