Consider the following actual and forecast demandlevels for Big Mac hamburgers at a local McDonald’s restaurant:DAY ACTUAL DEMAND FORECAST DEMANDMonday 88 88Tuesday 72 88Wednesday 68 84Thursday 48 80FridayThe forecast for Monday was derived by observing Monday’sdemand level and setting Monday’s forecast level equal to this demand level. Subsequent forecasts were derived by using expo-nential smoothing with a smoothing constant of 0.25. Using this exponential smoothing method, what is the forecast for Big Macdemand for Friday?

Consider the following actual and forecast demandlevels for Big Mac hamburgers at a local McDonald’s restaurant:DAY ACTUAL DEMAND FORECAST DEMANDMonday 88 88Tuesday 72 88Wednesday 68 84Thursday 48 80FridayThe forecast for Monday was derived by observing Monday’sdemand level and setting Monday’s forecast level equal to this demand level. Subsequent forecasts were derived by using expo-nential smoothing with a smoothing constant of 0.25. Using this exponential smoothing method, what is the forecast for Big Macdemand for Friday?

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)

14th Edition

ISBN:9781305506381

Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Chapter5: Business And Economic Forecasting

Section: Chapter Questions

Problem 7E: The Questor Corporation has experienced the following sales pattern over a 10-year period: Compute...

See similar textbooks

Similar questions

Metropolitan Hospital has estimated its average monthly bed needs as N=1,000+9X where X=timeperiod(months);January2002=0 N=monthlybedneeds Assume that no new hospital additions are expected in the area in the foreseeable future. The following monthly seasonal adjustment factors have been estimated, using data from the past five years: Forecast Metropolitans bed demand for January, April, July, November, and December 2007. If the following actual and forecast values for June bed demands have been recorded, what seasonal adjustment factor would you recommend be used in making future June forecasts?
Director Very Busy needs to allocate time this week for office appointments, so he needs to forecast the number of employees who will seek appointments. The director has gathered the following time series data recently Period Employee Appointments 4 weeks ago 95 3 weeks ago 80 2 week ago 65 last week 50
The demand of a product of a company is given below for the periods. Can we use Winter method for forecasting demands of the A following 3 periods? Why? If yes, apply it past 4. 6. Demand 27 31 40 31 35 45
Historical 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.
Use simple exponential smoothing with a = 0.3 to forecast bike sales for September through December. Assume that the forecast for September was 60 units. a) What will be the forecast for December? b) Calculate the MAD. Last saved 11:13:58 AM budy Questions Filter (25) Month September October November December F3 X C O Search P Bike Sales 54 72 60 ? Y
Question 3 The number of tons of brake assemblies received at an auto parts distribution center last month was 625. The forecast tonnage was 650 for last month. The company uses a simple exponential smoothing model with a smoothing constant of 0.46 to develop its forecasts. What will be the company's forecast for the next month? Add your answer
OA linear regression model is Units 3,414-0.839xWeek. For week 45, what is the forecast for the number of units? Round your answer to the nearest whole number. OO units
I Consider the demand for trading cards listed below. Month Demand Jan. 51,000 48,000 Feb. March 55,000 April May 58,000 66,000 June 69,000 80,000 July Aug. 95,000 Use Excel to prepare a forecast for September, October, and November using linear regression Print out the sheet of results, as well as a sheet containing the formulas that you used ( can be used to toggle between displaying values and displaying formulas or you can click on Formulas>Formula Auditing→Show Formulas.) and for the cars is 16.000
Discuss how you would conduct sales forecasting when working with government aganecy. Be sure to include considerations arising from the pandemic.
FORCASTING Month Time QJan 1 46Feb 2 56Mar 3 72Apr 4 67May 5 77Jun 6 66Jul 7 69Aug 8 79Sep 9 88Oct 10 91Nov 11 94Dec 12 104Jan ?Feb ? Make a forecast of the demand for the month of January and February
Actual sales of TV's for the first six month in 2021 were as follows:January 60 February 80 March 42April 68 May 44 June 72 Use this information and determine in whole numbers: 1 The average actual monthly sales for that period 2 Trends: Reduce this average by 6% per month for the next three months 3 Simple Moving Average (SMA): make a forecast for July using a three months simple movingaverage. 4 Weighted Moving Average (WMA): make forecast for July, using a three months weightedmoving average where the weights are 0.5; 0.3 and 0.2 respectively.
Use exponential smoothing with a smoothing constant of 0.3 to forecast the demand for fertilizer in year 12. Assume that last period's forecast for year 1 is 5,000 bags to begin the procedure. Bags are shown in 1,000's in table below. Year Demand (Bags) 6 3 4. 4. 5 10 6 8. 7 7 8 9 12 10 14 11 15 O A. 14.00 ОВ. 14.87 OC. 11.79 O D. 13.67 Click to select your answer. tUs I MacBook Air 80 F3 888 * ES F4 44 F7 F2 F6 F8 >) FIO F11 @ #3 24 4 & 2 6. 7 8 9. 0. W R Y U P. F G H %3D K C V N alt command command option * co