For a data set of weights (pounds) and highway fuel consumption amounts (mpg) of six types of automobile, the linear correlation coeficient is found and the P-value is 0.037. Write a statement that interprets the P-value and includes a conclusion about linear correlation. The P-value indicates that the probability of a linear correlation coefficient that is at least as extreme is which is so there sufficient evidence to conclude that there is a linear correlation between weight and highway fuel consumption in automobiles. (Type an integer or a decimal. Do not round)
For a data set of weights (pounds) and highway fuel consumption amounts (mpg) of six types of automobile, the linear correlation coeficient is found and the P-value is 0.037. Write a statement that interprets the P-value and includes a conclusion about linear correlation. The P-value indicates that the probability of a linear correlation coefficient that is at least as extreme is which is so there sufficient evidence to conclude that there is a linear correlation between weight and highway fuel consumption in automobiles. (Type an integer or a decimal. Do not round)
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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Transcribed Image Text:For a data set of weights (pounds) and highway fuel consumption amounts (mpg) of six types of automobile, the linear correlation coefficient is found and the
P-value is 0.037. Write a statement that interprets the P-value and includes a conclusion about linear correlation.
The P-value indicates that the probability of a linear correlation coefficient that is at least as extreme is, which is
so there
sufficient evidence to
conclude that there is a linear correlation between weight and highway fuel consumption in automobiles.
(Type an integer or a decimal. Do not round.)
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