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 762 515 45 508 42 621 491 480 (a) x = 503 feet (b) x = 641 feet (d) x = 724 feet 51 46 38 36 (c) x = 318 feet Find the regression equation. y = 51 x+ (21 (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)
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 762 515 45 508 42 621 491 480 (a) x = 503 feet (b) x = 641 feet (d) x = 724 feet 51 46 38 36 (c) x = 318 feet Find the regression equation. y = 51 x+ (21 (Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 6PPS
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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
762
621
515
508
491
480
(a) x = 503 feet
(c) x = 318 feet
(b) x = 641 feet
(d) x = 724 feet
51
46
45
42
38
36
.....
Find the regression equation.
y = 51 x+
(Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)
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