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18. We are interested in the relationship between years of post-secondary education (x), and annual salary (y), so a survey is put together and the linear regression analysis yields an R2 value of .79 the following regression line: ŷ = 4,500x + 40,000 a) What is the correct interpretation of the coefficient of determination?   Group of answer choices There is a strong, positive, linear correlation between years of post-secondary education and annual salary. A person with 0 years of post-secondary education can expect a salary of $40,000 79% of the variation found in salary can be explained by variation in years of post-secondary education For every additional year of post-secondary education, the expected annual salary increases by $4,500

18. We are interested in the relationship between years of post-secondary education (x), and annual salary (y), so a survey is put together and the linear regression analysis yields an R2 value of .79 the following regression line: ŷ = 4,500x + 40,000 a) What is the correct interpretation of the coefficient of determination?   Group of answer choices There is a strong, positive, linear correlation between years of post-secondary education and annual salary. A person with 0 years of post-secondary education can expect a salary of $40,000 79% of the variation found in salary can be explained by variation in years of post-secondary education For every additional year of post-secondary education, the expected annual salary increases by $4,500

College Algebra
College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter1: Equations And Graphs
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Problem 10T: Olympic Pole Vault The graph in Figure 7 indicates that in recent years the winning Olympic men’s...
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18. We are interested in the relationship between years of post-secondary education (x), and annual salary (y), so a survey is put together and the linear regression analysis yields an R2 value of .79 the following regression line: ŷ = 4,500x + 40,000

a) What is the correct interpretation of the coefficient of determination?

 
Group of answer choices
There is a strong, positive, linear correlation between years of post-secondary education and annual salary.
A person with 0 years of post-secondary education can expect a salary of $40,000
79% of the variation found in salary can be explained by variation in years of post-secondary education
For every additional year of post-secondary education, the expected annual salary increases by $4,500
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