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Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (The pair of variables have a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The table below shows the heights​ (in feet) and the number of stories of six notable buildings in a city.  Height, x    Stories, y 778    51 621    47 519    46 510    42 494    39 473    38 (a) x=499 feet ​(b) x=641 feet

Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (The pair of variables have a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The table below shows the heights​ (in feet) and the number of stories of six notable buildings in a city.  Height, x    Stories, y 778    51 621    47 519    46 510    42 494    39 473    38 (a) x=499 feet ​(b) x=641 feet

MATLAB: An Introduction with Applications
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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Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line.​ (The pair of variables have a significant​ correlation.) Then use the regression equation to predict the value of y for each of the given​ x-values, if meaningful. The table below shows the heights​ (in feet) and the number of stories of six notable buildings in a city. 

Height, x    Stories, y
778    51
621    47
519    46
510    42
494    39
473    38

(a)
x=499
feet
​(b)
x=641
feet
               
​(c)
x=321
feet
​(d)
x=725
fee

y=____x+____

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