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log (wage) = -0.90 + 0.11edục where wage is measured in dollars per hour, and educ denotes the years of schooling. We can conclude that the wage gap between a high school graduate with 12 years of education The following sample regression function has been estimated for wage (wage) and education (educ), and a university graduate with 16 years of education would approximately be a) 44 % O b) 0.44 % 4.4 % d) 44 $ e) 0.44 $

log (wage) = -0.90 + 0.11edục where wage is measured in dollars per hour, and educ denotes the years of schooling. We can conclude that the wage gap between a high school graduate with 12 years of education The following sample regression function has been estimated for wage (wage) and education (educ), and a university graduate with 16 years of education would approximately be a) 44 % O b) 0.44 % 4.4 % d) 44 $ e) 0.44 $

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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log (wage) = -0.90 + 0.11educ: where wage is measured in dollars per hour, and educ denotes the years of schooling. We can conclude that the wage gap between a high school graduate with 12 years of education The following sample regression function has been estimated for wage (wage) and education (educ), and a university graduate with 16 years of education would approximately be a) 44 % b) 0.44 % c) 4.4 % d) 44 $ e) 0.44 $
Transcribed Image Text:log (wage) = -0.90 + 0.11educ: where wage is measured in dollars per hour, and educ denotes the years of schooling. We can conclude that the wage gap between a high school graduate with 12 years of education The following sample regression function has been estimated for wage (wage) and education (educ), and a university graduate with 16 years of education would approximately be a) 44 % b) 0.44 % c) 4.4 % d) 44 $ e) 0.44 $
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