nd 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 prrelation.) 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 umber of stories of six notable buildings in a city. (a) x= 501 feet (c) x = 802 feet (b) x = 651 feet (d) x= 728 feet 496 483 eight, x tories, y 772 628 518 508 51 48 46 41 37 35

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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
772
628
518
508
496
483
(a) x = 501 feet
(c) x = 802 feet
(b) x= 651 feet
(d) x = 728 feet
51
48
46
41
37
35
Find the regression equation.
(Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)
Enter your answer in the edit fields and then click Check Answer.
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Transcribed Image Text: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 772 628 518 508 496 483 (a) x = 501 feet (c) x = 802 feet (b) x= 651 feet (d) x = 728 feet 51 48 46 41 37 35 Find the regression equation. (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.) Enter your answer in the edit fields and then click Check Answer. Check Answer 5 parts remaining Clear All
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