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Regression Statistics is: R-Squared= 0.30...

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Regression Statistics is: R-Squared= 0.306422 F statistic = 41.59349 Adjusted R-Squared=0.302436 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 -2.872735 0.807415 3.557939 age 0.022340 0.010555 2.116521 tenure 0.169269 0.029278 5.781359 education 0.576626 0.058131 9.919398 p>|t| Lower95% Upper 95% Intercept(wage) 0.000374 -4.455240 -1.290230 age 0.34301 0.001652 0.043027 tenure 0.000000 0.111884 0.226653 education 0.000000 0.462691 0.690560 model: Yi = B0 + B1X1i + B2X2i + B3X3i + ui ? What does that tell you about the correlation coefficient between age and education?

 

Paper#11418 | Written in 18-Jul-2015

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