FRQ 2Professional basketball teams have 11 players per team. Salary is dependent upon their scoring average,measured in points per game.A least-squares regression line that describes the relationship between scoring average and salary forone professional basketball team is ŷ = 2,671,134.68 +684,663.08x, where x is the player's scoringaverage and y is the player's salary. The residuals for this regression are given in the graph below.Residual$20,000,000$15,000,000$10,000,000$5,000,000$0-$5,000,000-$10,000,000-$15,000,0004ITS%6MacBook Pro●8● ●●101214Scoring Average (Points per Game)Is a line an appropriate model to use for these data? What information tells you this?b) What is the value of the slope of the least-squares regression line? Interpret the slope in thecontext of this problem.c) What is the predicted salary of the basketball player with 10.9 points per game?d) Approximate the actual salary of the basketball player with 10.9 points per game.16tv M18GAa

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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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The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 58 inches. Is the result close to the actual weight of 572 pounds? Use a significance level of 0.05. Chest size (inches) 46 57 53 41 40 40 Weight (pounds) 384 580 542 358 306 320 LOADING... Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y=nothing+nothingx (Round to one decimal place as needed.)
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Is It Getting Harder to Win a Hot Dog Eating Contest?Every Fourth of July, Nathan’s Famous in New York City holds a hot dog eating contest. The table below shows the winning number of hot dogs and buns eaten every year from 2002 to 2015, and the data are also available in HotDogs. The figure below shows the scatterplot with the regression line. Year Hot Dogs 2015 62 2014 61 2013 69 2012 68 2011 62 2010 54 2009 68 2008 59 2007 66 2006 54 2005 49 2004 54 2003 45 2002 50 Winning number of hot dogs in the hot dog eating contest Winning number of hot dogs and buns Click here for the dataset associated with this question. (a) Is the trend in the data mostly positive or negative? Positive Negative (b) Using the figure provided, is the residual larger in 2007 or 2008?Choose the answer from the menu in accordance to item (b) of the question statement 20072008 Is the residual positive or…
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Please provide solution and logic for questions attached, thanks!
Report the equation of the regression line and interpret it in the context of the problem

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