Answer Happy

1) In order to increase the responsiveness (volatility) of following forecast models, what can you do? a) Simple moving average method - describe in terms of "averaging periods" (number of data points to use): b) 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 Tracking signal 1 1.1 2 2.1 3 4.5 4 3.8 5 5.2 6 7 6.4 6.7
3) Actual demand values for the last four months are as follows. month January March February 8 April Demand 7 6 9 (1,000s) What is the forecast value (model generated value) for May using exponential smoothing method with Alpha=0.57 Start your forecast by assuming Fury Ajay Show all work step by step. I