A linear regression model was fitted to systolic blood pressure (sbp) of the low

Question

A linear regression model was fitted to systolic blood pressure (sbp) of the low birth weight data. Part of the result is listed below.

. reg sbp gestage female
Number of obs =     100
Prob > F      = 0.0154
R-squared     = 0.0825
Adj R-squared = 0.0636
Root MSE      = 11.035
      Source |       SS       df       MS             
-------------+------------------------------          
       Model | 1061.73458     2 530.867291          
    Residual | 11811.6254    97 121.769334          
-------------+------------------------------          
       Total |    12873.36    99 130.033939          

Based on the above result, how much variation of the data is explained by the regression model?

Explanation / Answer

Variation in data is explained by R-squared = 0.0825

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