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An engineer wanted to determine how the weight of a car affects gas mileage. The accompanying data represent the weights of various domestic cars and their gas mileages in the city for a certain model year. Complete parts (a) through (d) below. Click here to view the car data. Click here to view the table of critical values of the correlation coefficient (a) Determine which variable is the likely explanatory variable and which is the likely response variable. Choose the correct answer below. The explanatory variable is the weight and the response variable is the miles per gallon. O The explanatory variable is the miles per gallon and the response variable is the weight. (b) Draw a scatter diagram of the data. Choose the correct graph below. OA. 4100- 3300-1 2500- 15 23 Miles per Gallon Q B. r= (Round to three decimal places as needed.) 3. 154 ****** 2500 3300 4100 Weight (lbs) (c) Compute the linear correlation coefficient between the weight of a car and its miles per gallon. Q O C. 4100- 3300 2500- 15 23 31 Miles per Gallon Q G O D. 15-1 ****** > 2500 3300 4100 Weight (lbs) Q G

An engineer wanted to determine how the weight of a car affects gas mileage. The accompanying data represent the weights of various domestic cars and their gas mileages in the city for a certain model year. Complete parts (a) through (d) below. Click here to view the car data. Click here to view the table of critical values of the correlation coefficient (a) Determine which variable is the likely explanatory variable and which is the likely response variable. Choose the correct answer below. The explanatory variable is the weight and the response variable is the miles per gallon. O The explanatory variable is the miles per gallon and the response variable is the weight. (b) Draw a scatter diagram of the data. Choose the correct graph below. OA. 4100- 3300-1 2500- 15 23 Miles per Gallon Q B. r= (Round to three decimal places as needed.) 3. 154 ****** 2500 3300 4100 Weight (lbs) (c) Compute the linear correlation coefficient between the weight of a car and its miles per gallon. Q O C. 4100- 3300 2500- 15 23 31 Miles per Gallon Q G O D. 15-1 ****** > 2500 3300 4100 Weight (lbs) Q G

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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An engineer wanted to determine how the weight of a car affects gas mileage. The accompanying data represent the weights of various domestic cars and their gas mileages in the city for a certain model year. Complete parts (a) through (d) below. Click here to view the car data. Click here to view the table of critical values of the correlation coefficient (a) Determine which variable is the likely explanatory variable and which is the likely response variable. Choose the correct answer below. The explanatory variable is the weight and the response variable is the miles per gallon. The explanatory variable is the miles per gallon and the response variable is the weight. (b) Draw a scatter diagram of the data. Choose the correct graph below. O A. Weight (lbs) r= 4100- 3300- 2500+ 15 23 31 Miles per Gallon N B. (Round to three decimal places as needed.) Miles per Gallon 31- 23- (c) Compute the linear correlation coefficient between the weight of a car and its miles per gallon. 15+ 2500 3300 4100 Weight (lbs) O C. Weight (lbs) 4100- 3300- 2500- 15 23 31 Miles per Gallon U D. Miles per Gallon 31- 23 15- 2500 3300 Weight (lbs) 4100
Transcribed Image Text:An engineer wanted to determine how the weight of a car affects gas mileage. The accompanying data represent the weights of various domestic cars and their gas mileages in the city for a certain model year. Complete parts (a) through (d) below. Click here to view the car data. Click here to view the table of critical values of the correlation coefficient (a) Determine which variable is the likely explanatory variable and which is the likely response variable. Choose the correct answer below. The explanatory variable is the weight and the response variable is the miles per gallon. The explanatory variable is the miles per gallon and the response variable is the weight. (b) Draw a scatter diagram of the data. Choose the correct graph below. O A. Weight (lbs) r= 4100- 3300- 2500+ 15 23 31 Miles per Gallon N B. (Round to three decimal places as needed.) Miles per Gallon 31- 23- (c) Compute the linear correlation coefficient between the weight of a car and its miles per gallon. 15+ 2500 3300 4100 Weight (lbs) O C. Weight (lbs) 4100- 3300- 2500- 15 23 31 Miles per Gallon U D. Miles per Gallon 31- 23 15- 2500 3300 Weight (lbs) 4100
how the weight of a car affects gas mileage. The accompanying data represent needed.) Car Data Car Car 1 Car 2 Car 3 Car 4 Car 5 Car 6 Car 7 Car 8 Car 9 Car 10 Car 11 Weight (lbs) 3,755 3,984 3,470 3,175 2,580 3,730 2,605 Print 3,772 3,310 2,991 2,752 Miles per Gallon 21 18 21 22 27 18 26 17 20 25 26 Done X Critical Values for the Correlation Coefficient Critical Values for Correlation Coefficient Print n 3 0.997 4 0.950 5 0.878 6 0.811 7 0.754 8 0.707 9 0.666 10 0.632 11 0.602 12 0.576 13 0.553 14 0.532 15 0.514 16 0.497 17 0.482 18 0.468 19 0.456 20 0.444 21 0.433 22 0.42 23 0.413 24 0.404 25 0.396 26 0.388 Done
Transcribed Image Text:how the weight of a car affects gas mileage. The accompanying data represent needed.) Car Data Car Car 1 Car 2 Car 3 Car 4 Car 5 Car 6 Car 7 Car 8 Car 9 Car 10 Car 11 Weight (lbs) 3,755 3,984 3,470 3,175 2,580 3,730 2,605 Print 3,772 3,310 2,991 2,752 Miles per Gallon 21 18 21 22 27 18 26 17 20 25 26 Done X Critical Values for the Correlation Coefficient Critical Values for Correlation Coefficient Print n 3 0.997 4 0.950 5 0.878 6 0.811 7 0.754 8 0.707 9 0.666 10 0.632 11 0.602 12 0.576 13 0.553 14 0.532 15 0.514 16 0.497 17 0.482 18 0.468 19 0.456 20 0.444 21 0.433 22 0.42 23 0.413 24 0.404 25 0.396 26 0.388 Done
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The variables weight of a car and its miles per gallon are ( pick one - negatively, not, or positively)  associated because r is ( pick one - zero, negative or positive) and the absolute value of the correlation coefficient is ( pick one - less or greater) the critical value  (enter your response here.) 
​(Round to three decimal places as​ needed.)
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