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Find the equation of the regression line for the given data. Then construct a scatter plot of the data and drew 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, i meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below. 120 130 Calories, x Sodium, y Find the regression equation. 180 480 (Round to three decimal places as needed.) Choose the correct graph below. OC. 523.875 OD. not meaningfu (a) pog 70 270 (a) Predict the value of y for x 170. Choose the correct answer below. OA 463.575 OB. 400.275 193 513 (a)x= 170 calories (c) x 140 calories OC. (uguns Calore (b)x=90 calories (0) x-200 calories D. Cari

Find the equation of the regression line for the given data. Then construct a scatter plot of the data and drew 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, i meaningful. The caloric content and the sodium content (in milligrams) for 6 beef hot dogs are shown in the table below. 120 130 Calories, x Sodium, y Find the regression equation. 180 480 (Round to three decimal places as needed.) Choose the correct graph below. OC. 523.875 OD. not meaningfu (a) pog 70 270 (a) Predict the value of y for x 170. Choose the correct answer below. OA 463.575 OB. 400.275 193 513 (a)x= 170 calories (c) x 140 calories OC. (uguns Calore (b)x=90 calories (0) x-200 calories D. Cari

College Algebra
College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter1: Equations And Graphs
Section: Chapter Questions
Problem 6P
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Question list Question 35 Question 36 Question 37 Question 38 Question 39 Question 40 Question 41 Question 42 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 milligrame) for 6 beef hot dogs are shown in the table below. Calories, x Sodium, y 150 430 180 480 120 350 O A 302.775 OB. 523.875 OC. 463.575 OD. not meaningfu 130 380 70 270 OA 302.775 OB. 523.875 OC. 403.275 OD. not meaningful (c) Predict the value of y for x= 140. Choose the correct answer below. OA 403.275 OB. 302.775 C. 463.575 O D. not meaningful (d) Predict the value of y for x=200. Choose the correct answer below. 190 15 510 (a)x= 170 calories (c)x= 140 calories (b)x= 90 calories (c) x 200 calories
Transcribed Image Text:Question list Question 35 Question 36 Question 37 Question 38 Question 39 Question 40 Question 41 Question 42 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 milligrame) for 6 beef hot dogs are shown in the table below. Calories, x Sodium, y 150 430 180 480 120 350 O A 302.775 OB. 523.875 OC. 463.575 OD. not meaningfu 130 380 70 270 OA 302.775 OB. 523.875 OC. 403.275 OD. not meaningful (c) Predict the value of y for x= 140. Choose the correct answer below. OA 403.275 OB. 302.775 C. 463.575 O D. not meaningful (d) Predict the value of y for x=200. Choose the correct answer below. 190 15 510 (a)x= 170 calories (c)x= 140 calories (b)x= 90 calories (c) x 200 calories
Question list Question 35 Question 36 Question 37 Question 38 Question 39 Question 40 Question 41 O Question 42 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. Calories, x Sodium, y Find the regression equation. 150 430 SED Calories (Round to three decimal places as needed.) Choose the correct graph below. OA 180 480 120 350 OA 463.575 OB. 403.275 OC. 523.975 OD. not meaningful 130 380 OB. Sodium (mg) 650- 70 270 200 (a) Predict the value of y for x=170. Choose the correct answer below. 190 510 (a)x= 170 calories (c) x 140 calories C (a) ampog C. SED HEINE Calor 200 d'a (b)x=90 calories (c) x 200 calories D. Sodium (mg) 650 200 Calories
Transcribed Image Text:Question list Question 35 Question 36 Question 37 Question 38 Question 39 Question 40 Question 41 O Question 42 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. Calories, x Sodium, y Find the regression equation. 150 430 SED Calories (Round to three decimal places as needed.) Choose the correct graph below. OA 180 480 120 350 OA 463.575 OB. 403.275 OC. 523.975 OD. not meaningful 130 380 OB. Sodium (mg) 650- 70 270 200 (a) Predict the value of y for x=170. Choose the correct answer below. 190 510 (a)x= 170 calories (c) x 140 calories C (a) ampog C. SED HEINE Calor 200 d'a (b)x=90 calories (c) x 200 calories D. Sodium (mg) 650 200 Calories
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