A company wants to produce a weighted moving average forecast for April with the weights 0.40, 0.35, and 0.25 assigned to March, February, and January respectively. If the company had demands of 5,000 in January, 4,750 in February, and 5,200 in March, then April's forecast is
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- Under what conditions might a firm use multiple forecasting methods?Given an actual demand this period of 90, a forecast for this period of 58, and an alpha of 0.2, what would the forecast for the next period be using exponential smoothing?Suppose a four period weighted average is being used to forecast demand. Weights for the periods are: Wt-4 = 0.1 Wt-3 = 0.2 Wt-2 = 0.3 Wt-1 0.4 Demand observed in the previous four periods was: At-4 = 325 At-3 = 361 At-2 = 478 At-1 = 400 What will be the demand forecast for period t? (Keep one decimal place in your answer).
- Given an actual demand this period of 103, a forecast value for this period of 99, and an alpha of .4, what is the exponential smoothing forecast for next period? Forecast = [Blank1] 94.6 103.0 100.6 O 97.4Using exponential smoothing with alpha = .2, and assuming the forecast for period 11 was 80, what would the forecast for period 14 be?12-1. The Hartley-Davis motorcycle dealer in the Minneapolis- St. Paul area wants to be able to forecast accurately the de- mand for the Roadhog Super motorcycle during the next month. From sales records, the dealer has accumulated the data in the following table for the past year. Month January February March April Мay June Motorcycle Sales 7 10 8 7 12 July August September 10 11 12 October 10 November December 14 16 a Compute a three-month moving average forecast of demand for April through January (of the next year). b. Compore a five-month moving average forecast for June drough January. c. Compare the two forecasts computed in parts (a) and (b) using MAD. Which one should the dealer use for January of dhe next year?
- - Sales of tablet computers at Ted Glickman's electronics store in Washington, D.C., over the past 10 weeks are shown in the table below: 6 10 Week 1 Demand 20 2 3 23 27 4 5 37 26 7 8 9 30 35 22 24 29 a) The forecast for weeks 2 through 10 using exponential smoothing with a = 0.55 and a week 1 initial forecast of 20.0 are (round your responses to two decimal places): Week 1 Demand 20 Forecast 20.0 2 3 23 27 4 37 5 26 6 30 7 35 8 22 9 24 10 29Given the following data, use exponential smoothing (α = 0.10) to develop a demand forecast. Assume the forecast for the initial period is 9. Period Demand 1 2 10 13 1 9.00 3 7 The exponential smoothing forecast is (round your responses to two decimal places): Period 2 Forecast 9.10 3 9.40 4 6 4 8.80 5 8.70 5 10 6 9.10 6 4 7 8.50Income at the architectural firm of Spraggins and Yunes for the period February to July was as follows: Month Income ($000's) February March 70.0 68.5 The mean squared error (MSE) for the forecast developed using trend-adjusted exponential smoothing = April 64.8 May 71.7 June 71.3 July 72.8 Assume that the initial forecast for February is 65.0 (in $ thousands) and the initial trend adjustment is 0. The smoothing constants selected are α = 0.10 and ß = 0.2. Using trend-adjusted exponential smoothing, the forecast for the architectural firm's August income = thousand dollars (round your response to two decimal places). (thousand dollars)² (round your response to two decimal places).
- A police station had to deploy police officers for emergencies multiple times the lastfour evenings. The numbers of emergencies for Monday, Tuesday, Wednesday, andThursday were 7, 4, 8, and 11, respectively. What would be the station’s forecast for theemergencies on Friday using a two-day moving average approachc) If the forecasted demand for the week of August 31 is 360 and α = 0.20, using exponential smoothing, develop the forecast for each of the weeks with the known demand and the forecast for the week of October 12 (round your responses to two decimal places). Week Of Pints Used Forecast for this Date August 31 360 360 September 7 389 360.00 September 14 412 365.80 September 21 383 375.04375.04 September 28 366 376.63376.63 October 5 374 nothingGiven an actual demand this period of 143, a forecast value for this period of 119, and an alpha of .6, what is the exponential smoothing forecast for next period? 123.8 118.2 O 122.2 119.8 O 117.4