OLS Regression Results                            
==========================================================================
Dep. Variable:                      y   R-squared:                   0.933
Model:                            OLS   Adj. R-squared:              0.906
Method:                 Least Squares   F-statistic:                 34.77
Date:                Wed, 26 Aug 2020   Prob (F-statistic):        0.00117
Time:                        23:16:24   Log-Likelihood:             4.6561
No. Observations:                   8   AIC:                        -3.312
Df Residuals:                       5   BIC:                        -3.074
Df Model:                           2                                         
Covariance Type:        nonrobust                                         
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             coef    std err          t      P>|t|      [0.025      0.975]
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x1         0.2003      0.024      8.256      0.000       0.138       0.263
x2        -0.0750      0.046     -1.639      0.162      -0.193       0.043
const     -0.2883      0.186     -1.551      0.182      -0.766       0.190
==========================================================================
Omnibus:                    1.262   Durbin-Watson:                   1.558
Prob(Omnibus):              0.532   Jarque-Bera (JB):                0.075
Skew:                      -0.237   Prob(JB):                        0.963
Kurtosis:                   3.026   Cond. No.                         16.9
==========================================================================