1. The given statement is FALSE as the smoothing constant, α, can only be between 0 and 1.
2. The correct option is forecast of period t, as Ft represent the forecast of t period.
3. The correct option are Forecast from the previous period, demand form the previous period and a smoothing constant. As the formula for forecast is, Forecast = (Actual demand of previous period * α) + ( Forecast of previous period * (1 - α)), where α is smoothing constant.
4. The correct option is A highly reactive forecast.
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The greek letter α ("alpha") in the The greek letter α ("alpha") in the exponential smoothing...
Use Solver to determine the alpha that minimizes the MAD for the exponential smoothing forecast for the data that appear in this table. Use the actual demand of period 1 as the forecast for period 2 and then use the forecasts for periods 2 through 9 to calculate MAD. Period Demand 1 272 2 278 3 269 4 280 5 267 6 258 7 278 8 298 9 286 10 290 0.43 0.36 0.54 0.62
Use Solver to determine the alpha that minimizes the MSE for the exponential smoothing forecast for the data that appear in this table. Use the actual demand of period 1 as the forecast for period 2 and then use the forecasts for periods 2 through 9 to calculate MSE. Period Demand 1 272 2 278 3 269 4 280 5 267 6 258 7 278 8 298 9 286 10 290 0.66 0.39 0.57 0.48
Given the following data, use exponential smoothing with = 0.3 and α =.5 to develop a demand forecasts for period 7. Assume that the forecast for week 1= 19. Use the Mean Absolute Percent Error to determine which forecasts are more accurate. Period 1 2 3 4 5 6 Demand 17 19 15 19 13 18
Question 11 (10 points) a) For the following demand data, use exponential smoothing with alpha = 0.2 to calculate a forecast for period 7. Assume the forecast for period #1 was 7.0. b) Calculate the MAD error for periods 1-6 for your forecast Period Demand 1 10
A) for the following demand data, use exponential smoothing with alpha = .02 to calculate for perieod 7 assume forecast for period #1 was 7.0 B) Calculate the MAD error for periods 1-6 for your forecast period demand 1 10 2 8 3 7 4 10 5 12 6 9
Exercise # 1-0M6322-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 38 42 40 36 42 37 Determine the Running Sum of Forecast Errors (RSFE), the Mean Absolute Deviation, MADt Land the Tracking Signal(TS) at the end of...
Please help in answering the following: 1. Exponential smoothing methods are sensitive to initial values for base, trend, or seasonal coefficients. It is very important to choose good starting values. True False 2. When using a moving average forecast, the last forecast that can be created using historical demand data is used for all future forecasts. True False 3. Which of the following demand patterns would you expect to see at your local gas station Seasonality Variability All of these...
Given the period 1's demand of 62 and forecast of 65, what is the exponential smoothing forecast with an alpha 0.4 for the period 2? Select one: Оа. 63.8 ob. 66.2 О с 66.8 o o Оe. 60.8
Question 6 3 pts Consider the following simple exponential smoothing model. alpha 0.05 Exp Smooth Period Demand ForecastError ABS(Error) 19 21 28 25 30 1 20.00 20.40 20.63 21.10 8.00 4.60 9.37 11.90 8.00 4.60 9.37 11.90 4 What is the forecast for period 10?
The ollowing 12 periods of actual demand are to be used to produce a double exponential smoothin forecast or period 13. Use a smoothing constant α e 10 se 70 as the inna al to orecast values ll Click the icon to view the demand for the previous 12 periods Complete the table below for a double exponential smoothing forecast (enter your responses rounded to one decimal place). More Info Period at FD(DES) 64 Period 35 70 41 64 35...