K Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (Each pair of variables has a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below. 180 170 120 130 80 Calories, x 150 Sodium, y 415 465 320 370 270 520 (a) x = 160 calories (c) x 140 calories (b) x = 90 calories (d) x=50 calories Find the regression equation. y = x + (Round to three decimal places as needed.)
K Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw the regression line. (Each pair of variables has a significant correlation.) Then use the regression equation to predict the value of y for each of the given x-values, if meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below. 180 170 120 130 80 Calories, x 150 Sodium, y 415 465 320 370 270 520 (a) x = 160 calories (c) x 140 calories (b) x = 90 calories (d) x=50 calories Find the regression equation. y = x + (Round to three 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
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![K
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw
the regression line. (Each pair of variables has a significant correlation.) Then use the regression equation to
predict the value of y for each of the given x-values, if meaningful. The caloric content and the sodium
content (in milligrams) for 6 beef hot dogs are shown in the table below.
180
170 120 130 80
Calories, x 150
Sodium, y 415 465 320 370 270 520
(a) x = 160 calories
(c) x 140 calories
(b) x = 90 calories
(d) x=50 calories
Find the regression equation.
y = x +
(Round to three decimal places as needed.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F6fc6f775-5ce6-4f11-8c71-5879aaeff6f9%2F5182b34e-fe88-4d1d-910a-f8dc7d7a9d6e%2Fi1yfx3_processed.jpeg&w=3840&q=75)
Transcribed Image Text:K
Find the equation of the regression line for the given data. Then construct a scatter plot of the data and draw
the regression line. (Each pair of variables has a significant correlation.) Then use the regression equation to
predict the value of y for each of the given x-values, if meaningful. The caloric content and the sodium
content (in milligrams) for 6 beef hot dogs are shown in the table below.
180
170 120 130 80
Calories, x 150
Sodium, y 415 465 320 370 270 520
(a) x = 160 calories
(c) x 140 calories
(b) x = 90 calories
(d) x=50 calories
Find the regression equation.
y = x +
(Round to three decimal places as needed.)
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