A car lot wants to predict the # of car accessories they need to sell monthly based on the number of cars sold. The car lot owner randomly selects 12 months of data. The simple linear regression equation is ý = 14 - 2x. The coefficient of determination is 0.6364. What is the correlation coefficient to describe the relationship between these two variables?
A car lot wants to predict the # of car accessories they need to sell monthly based on the number of cars sold. The car lot owner randomly selects 12 months of data. The simple linear regression equation is ý = 14 - 2x. The coefficient of determination is 0.6364. What is the correlation coefficient to describe the relationship between these two variables?
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 17HP
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![A car lot wants to predict the # of car accessories they need to sell monthly based on the number of cars sold. The car lot owner
randomly selects 12 months of data. The simple linear regression equation is ý = 14 - 2x. The coefficient of determination is
0.6364. What is the correlation coefficient to describe the relationship between these two variables?
Multiple Choice](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F60518c46-9a6d-435e-a91d-c372f77de598%2Fd5401534-adf9-4915-9f14-a9047bc261b3%2F8qlvlmg_processed.jpeg&w=3840&q=75)
Transcribed Image Text:A car lot wants to predict the # of car accessories they need to sell monthly based on the number of cars sold. The car lot owner
randomly selects 12 months of data. The simple linear regression equation is ý = 14 - 2x. The coefficient of determination is
0.6364. What is the correlation coefficient to describe the relationship between these two variables?
Multiple Choice
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