. Following is the demand for a particular product over the past 10 months. Month : 1 2 3 4 5 6 7 8 9 10 Demand: 86 70 90 82 75 95 80 75 72 35 a) Use exponential smoothing with (1 =0.1 to develop a forecast of month 11. h) Assuming E|=e| and MI = e: and [i=0], develop the tracking signals for the exponential smoothing process. e) Use Adaptive Exponential Smoothing method discussed in the class with n =0] 0.05 to develop a forecast for the month 1]. d) Let {a = Et/M: and use this value in the following equation to develop a forecast by adaptive response-rate exponential smoothing method. Ft+l = {ItDt +(1- {101:} Apply this procedure to the data above with the same assumptions as given in (b). e) Compare the results of the methods in (a), (c), and (d) using MAD values