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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. (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 O 550 Calories, x Sodium, y 150 420 170 470 130 330 130 370 80 240 (a) x (c) x 180 calories 140 calories (b) x = 90 calories (d) x 220 calories

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 O 550 Calories, x Sodium, y 150 420 170 470 130 330 130 370 80 240 (a) x (c) x 180 calories 140 calories (b) x = 90 calories (d) x 220 calories

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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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Need regression equation, graph, and predict the value of y for a-d.
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. 180 550 Calories, x Sodium, y 150 420 170 470 130 330 Find the regression equation. ý = x + (Round to three decimal places as needed.) 130 370 80 240 (a) x = 180 calories (c) x = 140 calories G (b)x= 90 calories (d) x 220 calories
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. (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. 180 550 Calories, x Sodium, y 150 420 170 470 130 330 Find the regression equation. ý = x + (Round to three decimal places as needed.) 130 370 80 240 (a) x = 180 calories (c) x = 140 calories G (b)x= 90 calories (d) x 220 calories
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