For a data set of weights (pounds) and highway fuel consumption amounts (mpg) of ten types of automobile, the linear correlation coefficient is found and the P-value is 0.015. 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.)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 2CYU
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For a data set of weights (pounds) and highway fuel consumption amounts (mpg) of ten types of automobile, the linear
correlation coefficient is found and the P-value is 0.015. 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
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.)
SO
Transcribed Image Text:For a data set of weights (pounds) and highway fuel consumption amounts (mpg) of ten types of automobile, the linear correlation coefficient is found and the P-value is 0.015. 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 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.) SO
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