Forecasting using Exponential Smoothig

Q1: Compute the exponentially smoothed forecast for periods one through four.

Q2: Determine the Running Sum of Forecast Errors (RSFE), the mean Absolute Deviation, MAD t-1, and the tracking signal(TS) at th end of each period.

- Protected View - Saved to this PC- Search Perla Layout References Mailings Review View Help am the Internet can contain viruses. Unless you need to edit, it's safer to stay in Protected View. Enable Editing Exercise # 1-OMG 322-week 4-Forecasting using Exponential Smoothing The first five periods of demand data are shown in the following table.Let the smoothing coefficient, alpha, equal 0.2.Compute the exponentially smoothed forecasts for periods one through four.Initialize the procedure with a forecast value for period one of 37. Period Aggregate Demand Forecast demand 0 1 38 37 2 42 3 40 4 36 5 42 Determine the Running Sum of Forecast Errors (RSFE), the Mean Absolute Deviation, MADt-1, and the Tracking Signal(TS) at the end of each period. Let the initial MAD-1 for period o be equal to 2. D Focus Et