Bill's Bookstore is tracking its monthly demand for textbooks and has seen the following demand pattern. MONTH FORECASTED DEMAND ACTUAL DEMAND April 150 165 May 220 210 June 215 200 July 245 250 August 205 225 Based on this data, what is September's forecast using a three-month simple moving average?
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- 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?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 16.000Part C 3. The manager of a certain gasoline station wants to forecast the demand for the unleaded gasoline next month so that the proper number of gallons can be ordered from the distributor. The manager has accumulated the following data demand for unleaded gasoline from sales during the past eight months. Month Gasoline Demanded (gallons) Mar 900 Given that the forecast for March is 920. Apr 755 May 650 Jun 550 Jul 625 Aug 730 Sept 820 Oct 1 100 a. Compute the exponential smoothed forecast for the demand from April to November. Use a = 0.25. b. Compute the exponential smoothed forecast for the demand from April to November. Use a = 0.45. c. Plot the actual demand and the forecasts determined in part a and b on the same graph and compare them. d. Make a comparative analysis out of your answers in the plotted data. (3-5 sentences)
- 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.Below is a table containing data on product demand for the most recent three months along with the forecasts that had been made for those three previous months. Calculate the MSE. Month Demand Forecast 1 308 310 388 390 344 342 23Consider that the quantity of Milk A sold will increase by 50%, the sales revenue of Milk A will decrease by 25%, and the price is determined by sales revenue divided by quantity sold. Which of the following best describes the expected change in Milk A's price in April, compared to March? January February March Milk A Quantity Sold Sales Revenue Quantity Sold 500 800 400 $3,000 $4,400 $2,400 Milk B 1200 1500 950 Select the single best answer: A. increase by 25% B. decrease by 50% C. decrease by 25% D. decrease by 15% E. no change Sales Revenue $5,000 $6,000 $4,400 Quantity Sold Milk C 600 550 700 Sales Revenue $3,400 $3,300 $5,000
- 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.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 a. What would naive forecasting suggest as the number of employee appointments that can be expected this week? " b. b. What is this week's forecast for employee appointments using a 3-week moving average? What would the same forecast be using a 2-week moving average?"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
- Two different forecasting techniques (F1 and F2) were used to forecast demand for cases of bottled water. Actual demand and the two sets of forecasts are as follows: PREDICTED DEMAND Period Demand F1 F2 1 66 75 67 3 70 70 4 74 69 72 69 70 73 6. 72 68 75 7 80 77 8. 78 74 84 Click here for the Excel Data File a. Compute MAD for each set of forecasts. Given your results, which forecast appears to be more accurate? (Round your answers to 2 decimal places.) MAD F1 MAD F2 appears to be more accurate. 3o5 o o 0 o 677 6 N LO N N 677 6700Explain the relationship that economic variables can have with businesscycles. These have both direction and timing. Give an example economicvariable of each combination of direction timing. Of these two attributes, ifyou had exclusive access to a reliable variable, which relationships wouldyou want this variable to have for forecasting purposesBased on the information in the following table, use the Exponential Smoothing Approach (a = 0.5) to forecast the demand for periods 4-11 PERIOD MONTH Demand Forecast Jan 89 2. Feb 151 89 3 Mar 60 120 4. Apr 107 May 131 9. Jun 140 7 Jul 71 8. Aug 94 sep 102 10 Oct 119 11 Nov
