The mileage in miles per gallon of several cars when they were new and when they were 3 years old is listed below. New 27 17 33 28 24 18 22 20 29 3 years 24 15 29 25 22 16 20 18 26 The mean of the sample of new car mileages is x = 23.9 with a sample standard deviation of sy = 5.2, and The mea of the sample of three year old car mileage is ỹ = 21.4 with a sample standard deviation of s, = 4.6. The linear correlation coefficient is r = 0.998, which suggests linear correlation. Find the regression line and use it to predict the mileage a car will have after 3 vears if it gets 26 miles per gallon when it is new
The mileage in miles per gallon of several cars when they were new and when they were 3 years old is listed below. New 27 17 33 28 24 18 22 20 29 3 years 24 15 29 25 22 16 20 18 26 The mean of the sample of new car mileages is x = 23.9 with a sample standard deviation of sy = 5.2, and The mea of the sample of three year old car mileage is ỹ = 21.4 with a sample standard deviation of s, = 4.6. The linear correlation coefficient is r = 0.998, which suggests linear correlation. Find the regression line and use it to predict the mileage a car will have after 3 vears if it gets 26 miles per gallon when it is new
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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![The table below shows the mileage in miles per gallon of several cars when they were new and when they were 3 years old:
| | New | 3 years |
|------------|-----|---------|
| **Mileage**| 27 | 24 |
| | 17 | 15 |
| | 33 | 29 |
| | 28 | 25 |
| | 24 | 22 |
| | 18 | 16 |
| | 22 | 20 |
| | 20 | 18 |
| | 29 | 26 |
The mean of the sample of new car mileages is \(\bar{x} = 23.9\) with a sample standard deviation of \(s_x = 5.2\). The mean of the sample of three-year-old car mileage is \(\bar{y} = 21.4\) with a sample standard deviation of \(s_y = 4.6\). The linear correlation coefficient is \(r = 0.998\), which suggests a strong linear correlation.
**Task:**
Find the regression line and use it to predict the mileage a car will have after 3 years, if it gets 26 miles per gallon when it is new.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F4098b557-bd48-4816-9431-a300053a2d08%2Fc921e3b9-cafc-4fb1-8162-6df65434b94a%2Fvh025b_processed.png&w=3840&q=75)
Transcribed Image Text:The table below shows the mileage in miles per gallon of several cars when they were new and when they were 3 years old:
| | New | 3 years |
|------------|-----|---------|
| **Mileage**| 27 | 24 |
| | 17 | 15 |
| | 33 | 29 |
| | 28 | 25 |
| | 24 | 22 |
| | 18 | 16 |
| | 22 | 20 |
| | 20 | 18 |
| | 29 | 26 |
The mean of the sample of new car mileages is \(\bar{x} = 23.9\) with a sample standard deviation of \(s_x = 5.2\). The mean of the sample of three-year-old car mileage is \(\bar{y} = 21.4\) with a sample standard deviation of \(s_y = 4.6\). The linear correlation coefficient is \(r = 0.998\), which suggests a strong linear correlation.
**Task:**
Find the regression line and use it to predict the mileage a car will have after 3 years, if it gets 26 miles per gallon when it is new.
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