The manager of a travel agency asked you to come up weh a forecasting technique that wil best ft to the achual demand for packaged toum. You have observed and recorded the actual demand for the last 10 periocs. You also identified two porsible techniques for considerabion:2-month moving averages (F) and exponential smoothing (F2) with a smoothing constant of 0.40. Using Cumulative Forecalting Error (CF) and Mean Absolute Devation (MAD) as your performance measures you will determine the technique that wil best fit to the actual demand daca provided in the following table. 5TEP 1: Gven start forecast values in period 3, compute forecaut values from period 4 to 10. You are asked to provide the forecast values for period 6 and 10 for both techniaues. STEP 2: Using dara from period 3 to period 10. Provide the performanice measures for fl technique: CFE - Blank 5 MAD = Blank 6 Prowde the performance measures for F2 technique: CFE=Blank7MAD=Blank Based on these measures, which technique best fit to your data? (tinser f1 or F2)= Blank 9 NoTE All computed forecast values thould be rounded to the nearest integer ino decimat, for ecample 1900 perfarmance measures (CF and MAD) must be rounded to the nearest hundredth itwo decimals after the dot, for example 30.99 )