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You’ve run a regression of the effect of years of schooling on wages for a sample of 102,498 individuals. Your regression results are:   wage = 2.051    +    0.29 × Years of Schooling            (0.0802)     (0.0168)   Interpret the coefficients from this regression. (The coefficients are shown in the regression equation itself.)   The numbers in parentheses under the equation are the standard errors of the estimates for the respective coefficients. Determine whether each coefficient is statistically significant at each of the conventional significance levels.   The R2 for this regression is 0.284. Interpret the meaning of this value.

You’ve run a regression of the effect of years of schooling on wages for a sample of 102,498 individuals. Your regression results are:   wage = 2.051    +    0.29 × Years of Schooling            (0.0802)     (0.0168)   Interpret the coefficients from this regression. (The coefficients are shown in the regression equation itself.)   The numbers in parentheses under the equation are the standard errors of the estimates for the respective coefficients. Determine whether each coefficient is statistically significant at each of the conventional significance levels.   The R2 for this regression is 0.284. Interpret the meaning of this value.

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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  1. You’ve run a regression of the effect of years of schooling on wages for a sample of 102,498 individuals. Your regression results are:

 

wage = 2.051    +    0.29 × Years of Schooling

           (0.0802)     (0.0168)

 

    1. Interpret the coefficients from this regression. (The coefficients are shown in the regression equation itself.)

 

    1. The numbers in parentheses under the equation are the standard errors of the estimates for the respective coefficients. Determine whether each coefficient is statistically significant at each of the conventional significance levels.

 

    1. The R2 for this regression is 0.284. Interpret the meaning of this value.

 

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