Question 1 (25 points Awing machine proche analyzes the pot ales data and here that there are 3 distinguishable selling periods in a year, namely high, medium and low selling periods. The demand data is given for the last two years (2015 and 2016). Here periode 1, 2 and 3 refer to high, medium, and low selling periods Table 1: Demand data in thousand 2017 Year Period Sales 2015 1 61 2 3 60 26 2016 1 70 2 3 6130 72 a. 20 points obtain the forecut value for produd 3d selling perioris of 2017 by nsing Winter's method. Use the following smoothing constants a 02. # = 0.3, and 704 b. 5 points Instead of Winter's method, one coulisse the following forecasting procedure to forecast demand in 2 and 3d selling periods of 2017: 1. Comptate sential factors for each period by dividing each periods denuud by the mean, 2. Dersonalize the put demand value ning the factors. 3. On the demoticed demand values, apply double exponential smoothing, 4. Realize the resulting values to obtain final forecast values What are the similarities and the differences between this procedure and the Winter is method? (Note: I am looking for a 2- or 3-sentence long verhuul explanation.) Question 1 (25 points Awing machine proche analyzes the pot ales data and here that there are 3 distinguishable selling periods in a year, namely high, medium and low selling periods. The demand data is given for the last two years (2015 and 2016). Here periode 1, 2 and 3 refer to high, medium, and low selling periods Table 1: Demand data in thousand 2017 Year Period Sales 2015 1 61 2 3 60 26 2016 1 70 2 3 6130 72 a. 20 points obtain the forecut value for produd 3d selling perioris of 2017 by nsing Winter's method. Use the following smoothing constants a 02. # = 0.3, and 704 b. 5 points Instead of Winter's method, one coulisse the following forecasting procedure to forecast demand in 2 and 3d selling periods of 2017: 1. Comptate sential factors for each period by dividing each periods denuud by the mean, 2. Dersonalize the put demand value ning the factors. 3. On the demoticed demand values, apply double exponential smoothing, 4. Realize the resulting values to obtain final forecast values What are the similarities and the differences between this procedure and the Winter is method? (Note: I am looking for a 2- or 3-sentence long verhuul explanation.)