6.males. T'he x-axis is height in inches. The y-axis is weight in pounds. The equationof best fit line and the correlation coefficient (r) is also given.The following scatter plot was made from a random sample of 500 adultHeight vs. Weight for 500 alult males240-y = 5.815x + -213.594r = 0.85220200180160 -140-616365676971737577Height (inches)(a) Is it true that the tallest of the 500 men also weighs the most?(b) Use the equation of the line of best fit to predict the weight of a man who is 72inches tall.(c) Would it be appropriate to use this equation to predict the weight of a manwho is 6 foot 6 inches tall? Why or why not?(d) Guess the correlation coefficients for the following scatter plots.r=?r= ?r= ?161120-T620(sqi) jybiaM

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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 line of best fit and the correlation coefficient are calculated for a set of data. The value of the correlation coefficient is r=0.10. What is the strength and type of the correlation for this data? a) weak and positive b) strong and negative c) strong and positive d) weak and negative
The maximum weights (in kilograms) for which one repetition of a half-squat can be performed and the jump heights (in centimeters) for 12 international soccer players are given in the accompanying table. The correlation coefficient, rounded to three decimal places, is r=0.692. At a =0.05, is there enough evidence to conclude that there is a significant linear correlation between the variables? E Click the icon to view the soccer player data. Determine the null and alternative hypotheses. Ho: p o Maximum Weights and Jump Heights Ha: p o Maximum Jump height, y Determine the critical value(s). weight, x 190 60 to = (Round to three decimal places as needed. Use a comma to separate answers as needed.) 185 56 155 55 Determine the standardized test statistic. 180 59 175 55 t= (Round to three decimal places as needed.) 170 65 What is the conclusion? 150 52 160 52 Ho. There V enough evidence at the 5% level of significance to conclude that there is a significant linear correlation between the…
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