By typing
reg sexage educ
Source | SS df MS Number of obs = 2005
-------------+------------------------------ F( 1, 2003) = 8.87
Model | 72.6737934 1 72.6737934 Prob > F = 0.0029
Residual | 16405.025 2003 8.19022714 R-squared = 0.0044
-------------+------------------------------ Adj R-squared = 0.0039
Total | 16477.6988 2004 8.22240457 Root MSE = 2.8619
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sexage | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
educ | .055436 .0186102 2.98 0.003 .0189386 .0919333
_cons | 17.95426 .177452 101.18 0.000 17.60625 18.30227
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We see that education explains less than 1% of the variation in age of first
sex. In addition, this effect is small (age of first sex goes up by 0.05 of one
year for each additional year of education) and significant (which we can see
from the P>|t| = 0.003).