A statistics student is studying if there is a relationship between the price of a used car and the number of miles it has 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. Coef SE Coef t-ratio Predictor Constant 24157.2 2164.1 2.965 0.046 Mileage -0.181 θ.024 5.377 0.000 s = 3860.7 R-Sq = 68.0% R-Sq(Adj) = 67.5% Using the computer output, what is the equation of the least-squares regression line? O y = -0.181 + 24157.2x O ý = 24157.2 – 0.181x O ý = 2164.1+ 0.024x ý = 0.024 + 2164.1x

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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A statistics student is studying if there is a
relationship between the price of a used car and the
number of miles it has 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
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 equation of
the least-squares regression line?
O ŷ = -0.181 + 24157.2x
O ŷ = 24157.2 - 0.181x
O ý = 2164.1+ 0.024x
O ý = 0.024 + 2164.1x
Transcribed Image Text:A statistics student is studying if there is a relationship between the price of a used car and the number of miles it has 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 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 equation of the least-squares regression line? O ŷ = -0.181 + 24157.2x O ŷ = 24157.2 - 0.181x O ý = 2164.1+ 0.024x O ý = 0.024 + 2164.1x
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