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- . 4 . 2 table [ [ YEAR , 1 , 2 , 3 , 4 , 5 , 6 , 7 ,

-.4.2
\table[[YEAR,1,2,3,4,5,6,7,8,9,10,11],[DEMAND,7,9,5,9,13,8,12,13,9,11,7]]
4.3 Refer to Problem 4.2. Develop a forecast for years 2 through 12 using exponential smoothing with =4 and a forecast for year 1 of 6. Plot your new forecast on a graph with the actual data and the naive forecast. Based on a visual inspection, which forecast is better? PX
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