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# Stata - 1 A.r egre ss ahe age S our ce SS df M S Numb ero...

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1) A) Earnings increase by \$0.4519313, which rounds to \$0.45 , as workers age by one year. B) y = 0.4519x + 3.3242 Bob’s age is 26, ahe = 0.4519(26) + 3.3242 = \$15.07 Alexis is 30, ahe = 0.4519 (30) + 3.3242 = \$16.88 C) The R-squared of the regression is 0.0223 so Aae only accounts for 0.0223, or 2.23% of variations. Therefore large fraction of variation in earnings is not accounted by age. D)                                                                                                                                                                    _cons      3.324185    1.00223     3.32   0.001     1.359552    5.288817          age      .4519313   .0335255    13.48   0.000     .3862126    .5176501                                                                                                                                                                      ahe         Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]

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Stata - 1 A.r egre ss ahe age S our ce SS df M S Numb ero...

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