George Kyparisis owns a company that manufactures sailboats. Actual demand for George's sailboats during each of the past four seasons was as follows:YearSeasonWinterSpringSummerFall11,4801,5601,00060021,2401,4002,14077031,0401,6202,020670George has forecasted that annual demand for his sailboats in year 5 will equal 5,600 sailboats.Based on the given data and using the seasonal model, the demand level for George's sailboats in the spring of year 5 will beintermediate calculations to two decimal places).49201,5401,960500sailboats (enter your final answer as a whole number and round all Attendance at Orlando's newest Disneylike attraction, Lego World, has been as follows:Guests(in thousands)6899149756482SeasonQuarterWinter Year 1Spring Year 1Summer Year 1Fall Year 1Winter Year 2Spring Year 2Based on the given attendance, the seasonal indices for each of the seasons are (round your responses to three decimal places):IndexQuarterWinterGuests(in thousands)125549416120798Summer Year 2Fall Year 2Winter Year 3Spring Year 3Summer Year 3Fall Year 3

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Answered: George Kyparisis owns a company that…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Consider the 12 weeks of demand in the following table. Calculate the CMA for Weeks 2 through 11. What is the CMA for Week 4? Round your answer to the nearest whole number. Week Demand 1 23 2 19 3 21 4 22 5 19 6 22 7 19 8 20 9 22 10 22 11 19 12 21
Assume a company reported the following results: Sales Variable expenses Contribution margin Fixed expenses Net operating income $ 400,000 260,000 140,000 40,000 100,000 Average operating assets $ 500,000 If the company's minimum required rate of return on average operating assets is 16%, its residual income would be: Multiple Choice О $20,000. $21,000. $22,000. $23,000.
U 1.11 Health Care Spending. Table 1.3 shows the 2013 per capita total expendi- ture on health in 35 countries with the highest gross domestic product in that year.¹2 Health expenditure per capita is the sum of public and private
Volumes 1620 1780 1550 1400 1690 1640 1710 1680 1860 1530 1660 1860 1760 1730 1970 1540 1580 1650 1530 1380 1670 1620 1690 1660 1840 1510 1640 1840 1740 1710 1950 1520
Consider the following. March April May Month Demand. January 29 February March June April July May June July What is the forecast for July based on a three-month weighted moving average applied to the above past demand data and using the weights: data)? Show all the forecasts for April through June along with the answer Month Demand Forecast January 29 February 46 58 59 46 74 58 59 = 74 88 53 10 10 1:35:14 and (largest weight is for most recent 10
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.
George Kyparisis owns a company that manufactures sailboats. Actual demand for George's sailboats during each of the past four seasons was as follows: Season 1 2 3 4Winter 1,400 1,240 1,080 920Spring 1,520 1,420 1,640 1,540Summer 1,000 2,140 2,040 1,960Fall 600 750 650 520 George has forecasted that annual demand for his sailboats in year 5 will equal 6,500 sailboats. Based on the given data and using the multiplicative seasonal model, the demand level for George's sailboats in the spring of year 5 will be nothing sailboats (enter a whole number).
A local firm is planning its workforce and production levels over the next year. The firm makes a variety of microprocessors and uses sales dollars as its aggregate production unit. Based on orders received and sales forecasts provided by the marketing department, the estimate of dollar sales for the next year by month is as follows: Month Production Days Predicted Demand(in $10,000) Month Production Days Predicted Demand(in $10,000) January 20 595 July 20 410 February 19 225 August 21 130 March 22 565 September 19 405 April 18 205 October 23 315 May 21 230 November 21 355 June 22 120 December 18 350 Inventory holding costs are based on a 25% annual interest charge. It is anticipated that there will be 675 workers on the payroll at the end of the current year and inventories will amount to $120,000. The firm would like to have at least $100,000 of inventory at the end of December…
The following table gives the U.S. national debt for selected years from 1900 to 2013. U.S. Debt ($ billions) 3233 5225 Year 1900 1910 1920 1930 1940 1945 1955 1965 1975 1965 U.S. Debt ($ billions) 1 1 24 16 43 259 273 314 533 1823 Year 1990 1996 2000 2005 2009 2010 2011 2012 2013 5674 7933 11,957 13,529 15,476 16,067 16,856 (a) Using a function of the form ya b^x, with x=0 in 1900 and y equal to the national debt in billions, model the data. (Round your coefficients to four decimal places.) y= (b) Use the model to predict the debt in 2023. (Round your answer to the nearest billion.) $ billion (c) Predict the year in which the debt will be $71 trillion ($71,000 billion).
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…

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