Please show work. 1) In order to decrease the responsiveness (volatility) of following forecast models, what can you do? Simple moving average method - describe in terms of "averaging periods (number of data points to use): Exponential Smoothing method - describe in terms of "alpha value (smoothing constant): 2) The tracking signal is defined as TS = SUM (Actual Forecast) /MAD. You want to monitor the quality of a forecasting model by calculating the tracking signal. The tracking signals are calculated as below. What does this mean? Week 1 2 3 4 5 6 Tracking signal -1.5 -2.4 -5.5 -4.0 -6.2 -7.4 -7.9 3) Actual demand values for the last four months are as follows. month Demand January 7,000 February 8,000 March 6,000 April 9,000 What is the forecast value (model generated value) for May using exponential smoothing method with Alpha=0.5? Start your forecast by assuming Fianuar=Aianuari Show all work sten.by.step