Correct answer is option c the naive approach. Using a naive approach the forecast for a period is equal to the actual value of the immediately previous period
Today's forecast equals yesterday's actual demand" is referred as A. a moving average B. exponential smoothing...
An analyst is using exponential smoothing to forecast the daily demand for a key product. The analyst starts with a naive forecast for time period 2, then begins using exponential smoothing with a smoothing constant of 0.15. The table below shows some of the calculations. period actual forecast 1 125 2 136 125 3 144 126.65 4 157 129.25 5 181 ? What is the predicted demand for time period 5? Round your answer to two decimal places. Period Actual...
Which of the following is not a forecasting method? a)Exponential smoothing b)Naive Method c)Exponential smoothing with trend d)Weightage average e)Index torecasting
Which of the following is NOT a time-series model? a. exponential smoothing b. naive approach c. multiple regression d. moving average
(a) A firm uses simple exponential smoothing with a = 0.1 to forecast demand. The forecast for the week of January 1 was 500 units, whereas actual demand turned out to be 450 units. Determine the forecast demand for the week of January 8. (b) What is the difference between a causal model and a time-series model?
Use the exponential smoothing technique to forecast the 2021 demand for production. The α = .6; The company decided that the forecasting method that they were using started having problems in 2020 and wants to compare the exponential smoothing technique to their old technique starting with 2021’s forecast. What is the forecast for 2021? 19500 19300 20010.4 20010 20011
Please help. Im stuck on the exponential smoothing part of this problem. Here are the actual tabulated demands for an item for a nine-month period (January through September). Your supervisor wants to test two forecasting methods to see which method was better over this period. MONTH ACTUAL January 110 February 130 March 150 April 170 May 160 June 180 July 140 August 130 September 140 a. Forecast April through September using a three-month moving average. (Round your answers to 1...
Forecasting Method Selection A tax accountant who calculates the total demand for her services from the past four years and divides by four to forecast demand for the next year is using which of the following? A) Exponential Smoothing B) Weighted Average C) Linear Regression D) Moving Average E) Delphi Method
Consider the following actual and forecast demand levels for Big Mac hamburgers at a local McDonald's restaurant: Day Monday Tuesday Wednesday Thursday Friday Actual Demand 88.00 75.00 70.00 52.00 Forecast Demand 88.00 88.00 84.10 79.87 The forecast for Monday was derived by observing Monday's demand level and setting Monday's forecast level equal to this demand level. Subsequent forecasts were derived by using exponential smoothing with a smoothing constant of 0.30. Using this exponential smoothing method, the forecast for Big Mac...
Which of the followings is not used in forecasting based on the simple exponential smoothing method? A) The most recent forecast for the past year B) Precise actual demand for the past year C) The value of the smoothing constant D) Trend for the past year Please explain.
b. Forecast September sales volume using each of the following: (1) (Omitted) (2) A five-month moving average.(3) Exponential smoothing with a smoothing constant equal to .20, assuming a March forecast of 16(000).(4) The naive approach (5) A weighted average using .60 for August, .10 for July, and .30 for June.