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

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
 
 
 

 

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
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 8 steps with 1 images

Blurred answer
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman