Decreasing the number of periods in a moving average will produce: A.decreased sensitivity to real changes in the data. B. forecast accuracy. C.greater smoothing of the forecasts D.forecast stability. E.None of these answers are correct.
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Decreasing the number of periods in a moving average will produce:
A.decreased sensitivity to real changes in the data.
B.
C.greater smoothing of the forecasts
D.forecast stability.
E.None of these answers are correct.
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- How Forecasts is compared with predicted values? why these both terms are different?Name two coincident indicators used in forecastingWhich of the following approaches can help you mitigate the challenges of poor forecasts? a. Obtain and use the best, most recent information available b. Always use simple forecasting techniques c. Build flexible operations d. Minimize inventory Oe. All of the above Of. a and c'only g. b and d only
- Here are the errors associated with a particular forecast over the past five months, in chronological order: 5, 10, -10, 0, 10. Which of the following statements is (are) true? I. The mean absolute deviation (MAD) over these five months is 3. II. The forecast was too low during the third month. II. The forecast was perfectly accurate during one of the months. T only. Il and II I, Il and III Ill only. I and IIBased on annual data from 2000-2010, the Gadget Company estimates that sales are growing according to a linear trend: Q = 50,000 + 200t where t is time and t = 0 in 2000. a. Forecast sales for 2013. b. Do you see any problems with this forecasting method?Two coincident indicators used in forecasting
- Mr. Geppetto uses exponential smoothing to predict revenue in his wood carving business. He uses a weight of = .4 for the naïve forecast and (1-) = .6 for the past forecast. What revenue did he predict for March using the data below? MONTH REVENUE FORECAST Nov 100 100 Dec 90 100 Jan 115 ---- Feb 110 ---- MARCH ? ?4. Suppose we have a summary of forecasting techniques calculation results for Gundam Auto Sales Inc. (in the prior item) as follows: Mean Next Standard Period Error Forecasting Method Used Forecast (MSE) 1.3-period UnWMA 10.42 3.24 2.4-period UnWMA 10.38 3.51 3.3-period WMA 10.83 3.03 4. Simple Exponential Smoothing 5. Trend Projection 8.24 5.04 11.43 1.16 a. Which among the techniques is the most reliable? b. What does the result of the most reliable technique say?forecasts? 7. Contrast the use of MAD and MSE in evaluating forecasts. 8. What advantages as a forecasting tool does exponential smoc
- Short-range forecasts tend to ________ longer-range forecasts. A. deal with more comprehensive issues than B. use Delphi method approaches more often than C. None of these answers are correct D. employ the same methodologies as E. be less accurate thanHistorical demand for Peeps is as displayed in the table. Month Demand January 11 February 18 March 31 April 39 May 44 June 53 July 67 August 82 September 96 Develop forecasts from June through October using these techniques: Holt's method with alpha=0.2 and beta=0.1. For Holt's model, the level and trend for May are assumed to be 44 and 12. Judge which forecast method is the best based on MAD.2. Montyboy Pet Shop ships boxed can dogfood anywhere in the country. Using the following information, forecast the shipments for the first four months. Seasonal Relative Month January February March 1.2 1.3 1.3 1.1 0.8 0.7 The monthly forecast equation being used is: Yt = 402 + 3t April May June Where: to = January last year Yt = number of shipments Month July August September October November December Seasonal Relative 0.8 0.6 0.7 1.0 1.1 1.4 Question: Determine the trend amounts for the first four months of the next year assuming January, t=24; February, t=25; etc. Note: Round answers to whole numbers.