***************************************************************
*                                                             *
*              Linear Regression of BMI on Age                *
*                                                             *
*                                                             *
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insheet using  http://hedwig.mgh.harvard.edu/biostatistics/sites/default/files/public/education/tmp_sample_data.csv

regress bmi age



********************************** ANNOTATED RESULTS **********************************



      Source |       SS       df       MS              Number of obs =      60
-------------+------------------------------           F(  1,    58) =   31.89
       Model |  295.981713     1  295.981713           Prob > F      =  0.0000
    Residual |  538.235638    58  9.27992479           R-squared     =  0.3548
-------------+------------------------------           Adj R-squared =  0.3437
       Total |   834.21735    59  14.1392771           Root MSE      =  3.0463

------------------------------------------------------------------------------
         bmi |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         age |   .1595251   .0282468     5.65   0.000      .102983    .2160671
       _cons |   18.54621   1.378305    13.46   0.000     15.78723    21.30519
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