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Regression Statistics is: R-Squared= 0.12...

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Regression Statistics is: R-Squared= 0.121362 F statistic = 18.81790 Adjusted R-Squared=0.118002 Prob > F = 0.000000 Standard Error=3.468352 Number of Obs= 526 Mean (wage) = 5.896103 Std Dev (wage) = 3.693086 Coefficients Standard Error t-stat Intercept 4.727480 0.295612 15.99216 age 0.010579 0.011643 0.90863 tenure 0.167632 0.033785 4.96170 p>|t| Lower95% Upper 95% Intercept(wage) 0.000000 4.148090 5.306869 age 0.363544 -0.012241 0.033400 tenure 0.000001 0.101414 0.233849 model: Yi = B0 + B1X1i + B2X2i + ui where Yi is the wage, X1 is the age, X2 is worker tenure, and i indexes the workers. ? Controlling for tenure, do older workers earn more or less than younger workers? Do you accept or reject the null hypothesis H0: ?1 = 0?

 

Paper#11420 | Written in 18-Jul-2015

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