The Gross Horsepower of a car can influence the mileage of the car. A random sample of 32 different cars’ Gross Horsepower and mileage (Miles/gallon) is collected. From the data, suppose you got the following results: Pearson’s correlation coefficient: -0.90 The fitted regression line: Ŷ = 30. 10 − 0. 07 X d. Find the value of R2 and comment. e. From the fitted model find the values of Y for given values of X as 110. How do you interpret this value?
The Gross Horsepower of a car can influence the mileage of the car. A random sample of 32 different cars’ Gross Horsepower and mileage (Miles/gallon) is collected. From the data, suppose you got the following results: Pearson’s correlation coefficient: -0.90 The fitted regression line: Ŷ = 30. 10 − 0. 07 X d. Find the value of R2 and comment. e. From the fitted model find the values of Y for given values of X as 110. How do you interpret this value?
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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1. The Gross Horsepower of a car can influence the mileage of the car. A random sample of 32 different cars’ Gross Horsepower and mileage (Miles/gallon) is collected. From the data, suppose you got the following results:
Pearson’s
The fitted regression line: Ŷ = 30. 10 − 0. 07 X
d. Find the value of R2 and comment.
e. From the fitted model find the values of Y for given values of X as 110. How do you interpret this value?
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