Given below are the figures of production (in thousand mounds) of a Sugarfactory :Year2001 2002 2003200420052006200750Fit a Straight line trend by the 'Least Squares' Method and tabulate the trend.Production (000) mounds404546424746

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Answered: Given below are the figures of…

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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Fat (9) 31 39 19 34 43 39 35 Calories 580 680 410 590 | 660 640 570 8. Make a scatter plot of the data. 700 650 * 600 550 500 450 400 O 10 20 30 40 50 x Fat (g) Desertee the COFrelation Use technology to find the equation of the best-fitting line for the data. Graph the best-fitting line for the data on the scatter plot. Predict the number of calories in a hamburger that contains 34 grams óf fat. Calories
70. College Costs The table lists the average tuition and fees (in constant 2014 dollars) at public colleges and universi- ties for selected years. Year 1984 1994 2004 2014 Tuition and Fees (in 2014 dollars) 12,179 16,188 7626 9386 Source: National Center for Education Statistics. (a) Find the equation of the least-squares regression line that models the data. (b) Graph the data and the regression line in the same viewing window. (c) Estimate the cost in 2009. (d) Use the model to predict the cost in 2019.
please answer sections d and e
Size Energy Expenditure 250 1153 750 1256 1250 1696 1750 1830 2250 2016 2750 2150 3250 2217 3750 2534 The percentage of variation in average annual energy expenditures that is explained by the least-squares regression line is
You have the following data on consumption and income (in $10,000s). Income 9 11 5 8 2 9 12 Consumption 7 7 2 7 2 8 9 Make a scatterplot and draw the line of best fit.
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…
97000 96000 95000 94000 93000 92000 91000 90000 89000 1000 Revenue vs TV Advertise 2000 3000 4000 5000 6000 97000 96000 95000 94000 93000 92000 91000 90000 89000 Revenue vs Print Advertise 1000 1500 2000 2500 3000 3500 4000 4500 Given above are the plots between weekly gross revenues and TV advertising and between weekly gross revenues and TV advertising for Showtime Movie Theaters. Which advertising (TV or Print) has a stronger relationship with the weekly gross revenues? O A. Print Advertising has stronger relationship with the weekly gross revenue. B. We cannot tell without calculating the related correlation coefficients. O C. TV Advertising has stronger relationship with the weekly gross revenue. O D. The strength of the relationships is the same for both advertising.
Year CBU Tuition 3 4440 5000 7 5800 6570 11 7450 13 8370 15 9315 17 10420 19 11590 21 12760 A scatter plot for the data and a graph of a linear model in black and a quadratic model in red follows. 13000- 12000 11000- 10000 9000 8000- 7000 6000 5000 4000- 6 12 15 18 21 Use the above scatter plot to decide which model better fits the data. none linear quadratic

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Given below are the figures of production (in thousand mounds) of a Sugar factory : Year 2001 2002 2003 2004 2005 2006 2007 50 Fit a Straight line trend by the 'Least Squares' Method and tabulate the trend. Production (000) mounds 40 45 46 42 47 46