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The manager of a travel agency asked you to come up with a forecasting technique that will best fit to the actual demand for packaged tours. You have observed and recorded the actual demand for the last 10 periods. You also identified two possible techniques for consideration: 2-month moving averages (F1), and exponential smoothing (F2) with a smoothing constant of 0.20. Using Cumulative Forecasting Error (CFE) and Mean Absolute Deviation (MAD) as your performance measures you will determine the technique that will best fit to the actual demand data provided in the following table. STEP 1: Given start forecast values in period 3, compute forecast values from period 4 to 10. You are asked to provide the forecast values for period 6 and 10 for both techniques. 2-Month MA Exponential Period Demand F1 F2 1 132 2 178 3 98 155 130 4 163 5 93 6 126 7 112 8 131 9 88 10 180 STEP 2: Using data from period 3 to period 10, Provide the performance measures for F1 technique: CFE = MAD = Provide the performance measures for F2 technique: CFE = MAD = Based on these measures, which technique best fit to your data? (Enter F1 or F2) =