20. 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 c) What is the correct interpretation of the y-intercept? 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 For every additional year of post-secondary education, the expected annual salary increases by $4,500 79% of the variation found in salary can be explained by variation in years of post-secondary education
20. 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 c) What is the correct interpretation of the y-intercept? 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 For every additional year of post-secondary education, the expected annual salary increases by $4,500 79% of the variation found in salary can be explained by variation in years of post-secondary education
Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter3: Straight Lines And Linear Functions
Section3.CR: Chapter Review Exercises
Problem 15CR: Life Expectancy The following table shows the average life expectancy, in years, of a child born in...
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20. 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
c) What is the correct interpretation of the y-intercept?
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
For every additional year of post-secondary education, the expected annual salary increases by $4,500
79% of the variation found in salary can be explained by variation in years of post-secondary education
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