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The following table gives retail values of a 2017 Corvette for various odometer readings. Odometer Reading Retail Value ($) 13,000 18,000 20,000 25,000 29,000 32,000 52,475 51,625 51,400 50,425 49,775 49,075 (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.) 9 = (b) Use the equation from part (a) to predict the retail price of a 2017 Corvette with an odometer reading of 28,000. 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. Odometer Reading Retail Value ($) 13,000 18,000 20,000 25,000 29,000 32,000 52,475 51,625 51,400 50,425 49,775 49,075 (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.) 9 = (b) Use the equation from part (a) to predict the retail price of a 2017 Corvette with an odometer reading of 28,000. Round to the nearest $100. $ (c) Find the linear correlation coefficient for these data. (Round your answer to four decimal places.)

Advanced Engineering Mathematics
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.) y= ? (b) Use the equation from part (a) to predict the retail price of a 2017 Corvette with an odometer reading of 28,000. Round to the nearest $100. $ ? (c) Find the linear correlation coefficient for these data. (Round your answer to four decimal places.) r = ?
The following table gives retail values of a 2017 Corvette for various odometer readings. Odometer Reading Retail Value ($) 13,000 18,000 20,000 25,000 29,000 32,000 52,475 51,625 51,400 50,425 49,775 49,075 ASK YOUR TEACHER (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.) 9 = (b) Use the equation from part (a) to predict the retail price of a 2017 Corvette with an odometer reading of 28,000. Round to the nearest $100. $ (c) Find the linear correlation coefficient for these data. (Round your answer to four decimal places.) r= (d) What is the significance of the fact that the linear correlation coefficient is negative for these data? The variables are negatively correlated, which means that as the odometer reading goes up, the retail value goes ---Select-- PRACTICE ANOTHER
Transcribed Image Text:The following table gives retail values of a 2017 Corvette for various odometer readings. Odometer Reading Retail Value ($) 13,000 18,000 20,000 25,000 29,000 32,000 52,475 51,625 51,400 50,425 49,775 49,075 ASK YOUR TEACHER (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.) 9 = (b) Use the equation from part (a) to predict the retail price of a 2017 Corvette with an odometer reading of 28,000. Round to the nearest $100. $ (c) Find the linear correlation coefficient for these data. (Round your answer to four decimal places.) r= (d) What is the significance of the fact that the linear correlation coefficient is negative for these data? The variables are negatively correlated, which means that as the odometer reading goes up, the retail value goes ---Select-- PRACTICE ANOTHER
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