A statistics student is studying if there is a relationship between the price of a used car and the number of miles it had been driven. She collects data for 20 cars of the same model with different mileage and determines each car’s price using a used car website. The analysis is given in the computer output. Predictor Coef SE Coef t-ratio p Constant 24157.2 2164.1 2.965 0.046 Mileage -0.181 0.024 5.377 0.000 S = 3860.7 R-Sq = 68.0% R-Sq(Adj) = 67.5% Using the computer output, what is the correlation? –0.82 –0.68 0.68 0.82

A statistics student is studying if there is a relationship between the price of a used car and the number of miles it had been driven. She collects data for 20 cars of the same model with different mileage and determines each car’s price using a used car website. The analysis is given in the computer output. Predictor Coef SE Coef t-ratio p Constant 24157.2 2164.1 2.965 0.046 Mileage -0.181 0.024 5.377 0.000 S = 3860.7 R-Sq = 68.0% R-Sq(Adj) = 67.5% Using the computer output, what is the correlation? –0.82 –0.68 0.68 0.82

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.3: Measures Of Spread

Problem 1GP

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Question

Predictor	Coef	SE Coef	t-ratio	p
Constant	24157.2	2164.1	2.965	0.046
Mileage	-0.181	0.024	5.377	0.000

S = 3860.7

R-Sq = 68.0%

R-Sq(Adj) = 67.5%

Using the computer output, what is the correlation?

–0.82

–0.68

0.68

0.82

Definition Definition Relationship between two independent variables. A correlation tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

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