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Jun 19th, 2018
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  1. lm = smf.ols("np.log(Volume) ~ np.log(PrecoVenda)", data=df2).fit()
  2.  
  3. print(lm.params)
  4.  
  5. Intercept 5.435106
  6. np.log(PrecoVenda) 0.819627
  7. dtype: float64
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