Consider the following regression estimation of hourly wages on education, experience and experience squared: wage = 15.4 + 0.85 · educ + · exper - 0.05 · exper² where the coefficient on experience is 6. What is the effect on hourly wages of one extra year of experience evaluated at 10 years of experience, all else equal? Enter the answer with one decimal point. For example, if your answer is 4.5, enter it as 4.5, and if it is 4, enter it as 4.0 Your Answer: 6.5 % (5.0)

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
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Consider the following regression estimation of hourly wages on education, experience and experience squared:
= 15.4 + 0.85 educ + exper - 0.05 · exper²
wage
where the coefficient on experience is 6.
What is the effect on hourly wages of one extra year of experience evaluated at 10 years of experience, all else equal? Enter the
answer with one decimal point. For example, if your answer is 4.5, enter it as 4.5, and if it is 4, enter it as 4.0
Your Answer:
6.5 × (5.0)
Transcribed Image Text:Consider the following regression estimation of hourly wages on education, experience and experience squared: = 15.4 + 0.85 educ + exper - 0.05 · exper² wage where the coefficient on experience is 6. What is the effect on hourly wages of one extra year of experience evaluated at 10 years of experience, all else equal? Enter the answer with one decimal point. For example, if your answer is 4.5, enter it as 4.5, and if it is 4, enter it as 4.0 Your Answer: 6.5 × (5.0)
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