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The following table shows predicted product demand using your particular forecasting method along with the actual demand that occurred:
\table[[FORECAST,ACTUAL],[1,498,1,548],[1,395,1,495],[1,698,1,598],[1,745,1,648],[1,795,1,698]]
Compute the tracking signal using the mean absolute deviation and running sum of forecast errors.
Note: Negative values should be indicated by a minus sign. Round your "Mean Absolute Deviation", "Tracking Signal" to 2 dec places and all other answers to the nearest whole number.
\table[[Period,Forecast,Actual,Deviation,RSFE,\table[[Absolute],[Deviation]],\table[[Sum of],[Absolute],[Deviation]],MAD,TS],[1,1,498,1,548,,,,,,],[2,1,395,1,495,,,,,,],[3,1,698,1,598,,,,,,],[4,1,745,1,648,,,,,,],[5,1,795,1,698,,,,,,]]
 18 Problem 3-21(Algo) 7 points 01:35:33 Skipped eBook Print References The

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