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Car Weight (lbs) Miles per Gallon 3,765 Car 1 19 Car 2 3,964 17 Car 3 3,470 21 Car 4 3,175 22 Car 5 2,580 27 Car 6 3,730 18 Car 7 2,605 26 Car 8 3,772 17 3,310 Car 9 20 Car 10 2,991 25 Car 11 2,752 26 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. Suppose that we add Car 12 to the original data. Car 12 weighs 3 comma 3053,305 pounds and gets 1919 miles per gallon a) Compute the linear correlation coefficient with Car 12 included. The linear correlation coefficient with Car 12 included is r-? (Round to three decimal places as needed.) b) Recompute the linear correlation coefficient with Car 13 included. How did this new value affect your result? The linear correlation coefficient with Car 13 included is r-? t) Why does this observation not follow the pattern of the data?

Car Weight (lbs) Miles per Gallon 3,765 Car 1 19 Car 2 3,964 17 Car 3 3,470 21 Car 4 3,175 22 Car 5 2,580 27 Car 6 3,730 18 Car 7 2,605 26 Car 8 3,772 17 3,310 Car 9 20 Car 10 2,991 25 Car 11 2,752 26 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. Suppose that we add Car 12 to the original data. Car 12 weighs 3 comma 3053,305 pounds and gets 1919 miles per gallon a) Compute the linear correlation coefficient with Car 12 included. The linear correlation coefficient with Car 12 included is r-? (Round to three decimal places as needed.) b) Recompute the linear correlation coefficient with Car 13 included. How did this new value affect your result? The linear correlation coefficient with Car 13 included is r-? t) Why does this observation not follow the pattern of the data?

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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Car Weight (lbs) Miles per Gallon 3,765 Car 1 19 Car 2 3,964 17 Car 3 3,470 21 Car 4 3,175 22 Car 5 2,580 27 Car 6 3,730 18 Car 7 2,605 26 Car 8 3,772 17 3,310 Car 9 20 Car 10 2,991 25 Car 11 2,752 26 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. Suppose that we add Car 12 to the original data. Car 12 weighs 3 comma 3053,305 pounds and gets 1919 miles per gallon a) Compute the linear correlation coefficient with Car 12 included. The linear correlation coefficient with Car 12 included is r-? (Round to three decimal places as needed.) b) Recompute the linear correlation coefficient with Car 13 included. How did this new value affect your result? The linear correlation coefficient with Car 13 included is r-? t) Why does this observation not follow the pattern of the data?
Transcribed Image Text:Car Weight (lbs) Miles per Gallon 3,765 Car 1 19 Car 2 3,964 17 Car 3 3,470 21 Car 4 3,175 22 Car 5 2,580 27 Car 6 3,730 18 Car 7 2,605 26 Car 8 3,772 17 3,310 Car 9 20 Car 10 2,991 25 Car 11 2,752 26 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. Suppose that we add Car 12 to the original data. Car 12 weighs 3 comma 3053,305 pounds and gets 1919 miles per gallon a) Compute the linear correlation coefficient with Car 12 included. The linear correlation coefficient with Car 12 included is r-? (Round to three decimal places as needed.) b) Recompute the linear correlation coefficient with Car 13 included. How did this new value affect your result? The linear correlation coefficient with Car 13 included is r-? t) Why does this observation not follow the pattern of the data?
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