Mark Gershon, owner of a musical instrument distributorship, thinks that demand for guitars may be related to thenumber of television appearances by the popular group Maroon 5 during the previous month. Gershon has collectedthe data shown in the following tableMaroon 5 TV AppearancesDemand for Guitars3 33 6 66 7 8 65 9 7-0.0This exercise contains only parts b, c, and d.b) Using the least-squares regression method, the equation for forecasting is (round your responses to four decimalplaces):

Least square regression is a important statistical method to find regression line. Formula Y = a +…

Answered: Mark Gershon, owner of a musical…

Practical Management Science

6th Edition

ISBN:9781337406659

Author:WINSTON, Wayne L.

Publisher:WINSTON, Wayne L.

Chapter2: Introduction To Spreadsheet Modeling

Section: Chapter Questions

Problem 20P: Julie James is opening a lemonade stand. She believes the fixed cost per week of running the stand...

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The following gives the number of accidents that occurred on Florida State Highway 101 during the last 4 months: Month Jan Number of Accidents 25 Feb 48 Mar 64 Apr 100 Using the least-squares regression method, the trend equation for forecasting is (round your responses to two decimal places): y = -1 + 24.10 x Using least-squares regression, the forecast for the number of accidents that will occur in the month of May response as a whole number). = accidents (enter your
Use simple exponential smoothing with a -0.8 to forecast electric scooter sales at Guelph- Humber Inc. for July. Assume that the forecast for May was for 45 electric scooters. Round your answer to 1 decimal Electric Scooter Sales Month May 42 June 47 July 45 August 40 Weekly demand for medical masks for the last five weeks at Chopper Drug Store has been as follows: 92, 96, 100, 100 and 102 (listed from the oldest to most recent). Suppose a naive forecast was used to forecast demand. What would the MAD be for this situation? Enrollment in a particular Yoga class at Guelph Fitness Centre for the last five months has been 80, 86, 88, 88 and 90(listed from the oldest to most recent). Suppose a two-month mov average was used to forecast enrollment. What would the MSE be for this situation?
Consider the following from an estate agent’s business nationally: Month Houses Sold Jan 380 Feb 360 Mar 390 Apr 400 May 390 June 380 July 394 Aug 454 Sep 460 Oct 460 Nov 430 Dec 370 Calculate the three point moving averages (quarters) and seasonal variation for the above data Define moving averages and how they’re useful in forecasting (use Harvard referencing) At races, your horse, White Rum, has a probability of 1/20 of coming 1st, 1/10 of coming 2nd and a probability of ¼ in coming 3rd. First place pays $5,000 to the winner, second place $4,000 and third place $1,350. Hence, is it worth entering the race if it costs $1050? Your company plans to invest in a particular project. There is a 40% chance you will lose $3,000, a 45% chance you will break even, and a 15% chance you will make $5,500.…
14
The monthly sales for Yazici Batteries, Inc., were as follows: Month Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec Sales 21 20 15 12 15 16 15 17 19 21 20 24 Using a method of trend projection, the forecast for the next month (Jan) = ______ sales (round your response to two decimal places).
The number of cases of merlot wine sold by the Connor Owen winery in an eight-year period is as follows: YEAR CASES OF MERLOT WINE 1 270 2 356 3 398 4 456 5 358 6 500 7 410 8 376 Using an exponential smoothing model with an alpha value of 0.20, estimate the smoothed value calculated as of the end of year 8. Use the average demand for years 1 through 3 as your initial forecast for year 4, and then smooth the forecast forward to year 8. Note: Round your intermediate calculations and final answer to the nearest whole number.
The number of internal disk drives (in millions) made at a plant in Taiwan during the past 5 years follows: Year Disk Drives 1 142 2 156 3 184 4 204 5 210 a) Using simple linear regression the forecast for the number of disk drives to be made next year= 234.4 disk drives b) The mean squared error when using simple linear regression = 24.64 drives2 c) The mean absolute percentage error (mape) when using simple linear regression= [___]% (round your response to 1 decimal place)
4) A small manufacturing firm has recorded a time series of the cost per unit for the firm's leading product over the past eight years. Year Cost/Unit($) 1 2 3 4 5 6 7 8 20 24.5 28.2 27.5 26.6 30 31 36 a) If you are not given a base value or trend, what would be the forecast for the year 10 made at the end of year 8 (a=0.2, ß=0.4). b) Forecast for the year 9 using 1) 5-month weighted average using 0.1,0.1,0.1,0.2,0.3, with the heaviest weight applied to the recent month 2) Exponential smoothing using a =0.2 and forecast of 21 for year 5 3) If a value was not provided in the question above, what value of a would you choose?
Community Federal Bank in Dothan, Alabama, recently increased its fees to customers who use employees as tellers. Management is interested in whether its new fee policy has increased the number of customers now using its automatic teller machines to that point that more machines are required. The following table provides the number of automatic teller transactions by week. Use trend projection with regression to forecast usage for weeks 13-16. 11 2 12 10 8 3 4 9 5 Period Transactions 716 838 634 694 712 719 837 825 663 Obtain the trend projection with regression forecast (Enter your responses rounded to the nearest whole number) Forecast, F 1 714 Period D 13 14 15 16 6 740 7 782
Tom Simpson, Director of the Chamber of Commerce for Exeter township is investigating the past ten years of tourist visits to the area. The following data has been gathered on number of tourists who signed into the local information center. Year Number of tourists 1 700 2 248 3 633 4 458 5 1410 6 1588 7 1629 8 1301 9 1455 10 1989 What is the forecasts for Year 11 using the simple moving method? (show in calculations in excel file)
Month Demand Forecast Error 1 20 2 18 3 21 4 25 5 24 6 27 7 22 8 30 9 23 10 20 11 29 12 22 Mean Abs Error Problem 6: The demand manager of Maverick Jeans is responsible for ensuring sufficient warehouse space for the finished jeans that come from the production plants. It has occasionally been necessary to rent public warehouse space, something that Maverick would like to avoid. In order to estimate the space requirements the demand manager is evaluating moving-average forecasts. The demand (in 1,000 case units) for the last fiscal year is shown below. Bias MAD (mean error) Month 1 2 3 4 5 6 7 8 9 10 11 12 Demand 20 18 21 25 24 27 22 30 23 20 29 22 Use a three-month moving average to estimate the month-in- advance forecast of demand for months 4-12. Calculate the Bias and MAD. (Note: Adjust all cell values to two decimal points.)
Use regression or simple exponential smoothing with the following data. For exponential smoothing, assume the forecast for year 1 was the same as the actual and use an alpha of 0.7. (use excel to show formauls used) Year Sales 1 290 2 340 3 400 4 410 5 400 1. What is the tracking signal for the forecast?

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