The following table gives retail values of a 2017 Corvette for various odometer readings. (a) Find the equation of the least-squares line for the data. (Where odometer reading is the independent variable, x, and retail value is the dependent variable. Round your numerical values to two decimal places.) (b) Use the equation from part (a) to predict the retail price of a 2017 Corvette with an odometer reading of 30,000. Round to the nearest $100. (c) Find the linear correlation coefficient for these data. (Round your answer to four decimal places.)
The following table gives retail values of a 2017 Corvette for various odometer readings. (a) Find the equation of the least-squares line for the data. (Where odometer reading is the independent variable, x, and retail value is the dependent variable. Round your numerical values to two decimal places.) (b) Use the equation from part (a) to predict the retail price of a 2017 Corvette with an odometer reading of 30,000. Round to the nearest $100. (c) Find the linear correlation coefficient for these data. (Round your answer to four decimal places.)
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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The following table gives retail values of a 2017 Corvette for various odometer readings.
(a) Find the equation of the least-squares line for the data. (Where odometer reading is the independent variable, x, and retail value is the dependent variable. Round your numerical values to two decimal places.)
(b) Use the equation from part (a) to predict the retail price of a 2017 Corvette with an odometer reading of 30,000. Round to the nearest $100.
(c) Find the linear correlation coefficient for these data. (Round your answer to four decimal places.)
Transcribed Image Text:The following table gives retail values of a 2017 Corvette for various odometer readings.
Odometer Reading Retail Value ($)
ŷ =
13,000
18,000
20,000
r =
25,000
29,000
32,000
52,475
51,525
51,350
50,325
49,725
49,275
(a) Find the equation of the least-squares line for the data. (Where odometer reading is the independent variable, x, and retail value is the dependent variable. Round your numerical values to two
decimal places.)
(b) Use the equation from part (a) to predict the retail price of a 2017 Corvette with an odometer reading of 30,000. Round to the nearest $100.
$
(c) Find the linear correlation coefficient for these data. (Round your answer to four decimal places.)
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