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table [ [ Month , Sales,Forecast 1 , Forecast 2 ] , [ 1 , 7 7 0 , 7 7 1 , 7

\table[[Month,Sales,Forecast 1,Forecast 2],[1,770,771,769],[2,789,785,787],[3,794,790,792],[4,780,784,798],[5,768,770,774],[6,772,768,770],[7,760,761,759],[8,775,771,775],[9,786,784,788],[10,790,788,788]]
a. Compute the MSE and MAD for each forecast. Does either forecast seem superior? Explain.
b. Compute MAPE for each forecast.
c. Prepare a naive forecast for periods 2 through 11 using the given sales data. Compute each of the following: (1) MSE, (2) MAD, (3) tracking signal at month 10, and (4)2s control limits. How do the naive results compare with the other two forecasts?
develoned a linear model that it uses to determine the amount of term life insurance a family of four Page 132
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