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- Describe the results of your two graphs as they compare to the movement of demand. Be specific. Choosing between the three-period and the five-period forecasts, which length of averaging would you use as a purchasing manager of Greenfield’s Tannery? Be sure to factor in the cumulative forecast errors in your answer. Also, make sure you include some rationale about why you are picking the method you do for this particular business. So for example, does picking one method over the other have any impact on how much inventory they will have on hand to meet customer demand? What happens when the demand drops? Which method better supports that?Using the actual sales (in units) over the past 15 months, a demand planner at a leading e-commerce firm has forecasted the demand for a popular consumer product as shown below. Forecast 1 and Forecast 2 represent the outputs of two comparative forecasting methods currently used by the sales and marketing, and operations departments of the firm. Month October 22 November 22 December 22 January 23 February 23 March 23 April 23 May 23 June 23 July 23 August 23 September 23 October 23 November 23 December 23 Actual sales (units) 120 000 138 000 172 000 120 000 114 000 98 000 118 000 112 000 132 000 138 000 108 000 126 000 144 000 162 000 189 000 QUESTION 24 Determine the mean absolute deviation of Forecast 1. A 234 290 units a 18 721 units c 19 524 units 22 670 units QUESTION 25 Determine the mean absolute deviation of Forecast 2. A 21 638 units a 35 280 units c. 19 330 units 23 600 units Forecast 1 (units) 133 280 130 620 127 300 121 440 120 750 119 000 121 600 124 900 121 500 122400 126…The problem is based on the following data given. Observations of the demand for a certain part stocked at a parts supply depot during the calendar year 2013 were ( as shown ). What would an MA(1) forecasting method mean? Compare the accuracy of MA(1) and MA(4) forecasts for July through December 2013.
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- Table 1. The manager of Carpet City outlet store needs to be able to forecast accurately demand for Soft Shang carpet. Demand for the past 20 weeks appears in table 1 below. week Demand Forecast Error ABS. Dev Squared Error APE 1 20 2 28 3 22 4 18 5 22 6 22 7 22 8 26 9 23 10 23 11 23 12 27 13 25 14 22 15 23 16 14 17 14 18 15 19 11 20 16 21 22 23 24…3. (5.7.12) On June 2, 2010 USA Today reported a story from Bloomberg News that said that the total price tag for the project to build the new F-35 Joint Strike Fighter would be 65% higher than the original $232 billion estimate. The cost now is estimated to be $382 billion. The total cost of each plane would be $112.4 million, up 81% from the original $62 million. The cost to produce each plane would be $92.4 million, about 85% higher than the original estimate of $50 million. a. Check the arithmetic to see that the three percentage increases reported are correct. b. Can you explain how the project cost can have increased by just 65% when the overall total per plane increased by 81% and the construction cost alone increased by almost 85%?The following are historical demand data: ACTUAL YEAR 2011 SEASON DEMAND Spring 201 Summer 142 Fall 380 Winter 578 2012 Spring 469 Summer 273 Fall Winter 683 963 Use regression analysis on deseasonalized demand to forecast demand in summer 2013. (Do not round intermediate calculations. Round your answer to the nearest whole number.) Forecast for summer 2013
- In 1997 Fuller and coworkers at Texas A&M University estimated the operating costs of cotton gin plants of various sizes. The operating costs of the next to the smallest plant is shown in the following table. x 2000 4000 6000 8000 10000 12000 y 163,200 230,480 301,500 376,160 454,400 536,400 Here x is the annual number of bales produced, and y is the dollar total cost. (Use 4 decimal places in your answer.)A. Determine the best fitting line using least squares. Also determine the square of the correlation coefficient.The best fitting line is C(x) = .The square of the correlation coefficient is r2 = .B. The study noted that revenue was $63.25 per bale. At what level of production will this plant break even?The revenue equation is R(x) = The profit equation is P(x) = The production will break even when bales are produced.C. What are the profits or losses when production is 3000 bales? 4000 bales? (Round to the nearest cent.)When…An entrepreneur who owns and operates two businesses (A and B) would like to analyze their profitability. They would like your help in the analysis. They give you the annual net profit (in thousands of $) for each business from 2008-2020. Table 1: Annual Net Profits for Businesses A and B Business Year Profit Business Year Profit 2008 -50 2008 -10 2009 57 2009 30 2010 71 2010 27 2011 64 2011 22 2012 60 2012 21 2013 50 2013 20 A 2014 41 2014 24 2015 59 2015 24 2016 71 2016 32 2017 71 2017 36 2018 74 2018 37 019 81 20 40 2020 97 2020 49 a. Suppose you want to graph the distribution of profits. Explain why using only one stem- plot might not be optimal for the analysis. b. Describe the correct stemplot to use. Generate this stemplot. Explain your steps. What can you say about the distribution from this stemplot? c. When are stemplots useful? And why is that? d. Suppose that instead of having 26 observations you have 200 observations. What graph should you generate? e. What other type of…Develop a three-period moving average forecast for periods 13-15. Period 10 11 12 13 14 Demand 265 359 436 261 462 Calculate the forecasts for periods 13-15 by using a three-period moving average model (enter your responses rounded to the nearest whole number). Period Demand Forecast 10 265 11 359 12 436 13 261