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 758 621 518 510 492 483 51 47 46 41 38 36 Find the regression equation. (a) x = 502 feet (c) x = 810 feet (b)x=644 feet (d) x=732 feet y = X + (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 758 621 518 510 492 483 51 47 46 41 38 36 Find the regression equation. (a) x = 502 feet (c) x = 810 feet (b)x=644 feet (d) x=732 feet y = X + (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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Question
![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
758 621 518 510 492 483
51 47 46
38
36
IN
(a) x = 502 feet
(c) x=810 feet
(b)x=644 feet
(d) x = 732 feet
Find the regression equation.
y =
x +
(Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fff479e08-2c2a-41ff-b816-85c38a51256e%2F3c7f822c-7166-46bf-8abb-a69735d26d96%2Fagb0bl_processed.jpeg&w=3840&q=75)
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
758 621 518 510 492 483
51 47 46
38
36
IN
(a) x = 502 feet
(c) x=810 feet
(b)x=644 feet
(d) x = 732 feet
Find the regression equation.
y =
x +
(Round the slope to three decimal places as needed. Round the y-intercept to two decimal places as needed.)
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