OLS Regression Results                            
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Dep. Variable:                      y  R-squared:                     0.897
Model:                            OLS  Adj. R-squared:                0.880
Method:                 Least Squares  F-statistic:                   52.19
Date:                Wed, 26 Aug 2020  Prob (F-statistic):         0.000357
Time:                        22:05:45  Log-Likelihood:               2.9364
No. Observations:                   8  AIC:                          -1.873
Df Residuals:                       6  BIC:                          -1.714
Df Model:                           1                                        
Covariance Type:          nonrobust                                         
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             coef    std err          t      P>|t|      [0.025      0.975]
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x1         0.1980      0.027      7.224      0.000       0.131       0.265
const     -0.5432      0.115     -4.721      0.003      -0.825      -0.262
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Omnibus:                    2.653   Durbin-Watson:                 0.811
Prob(Omnibus):              0.265   Jarque-Bera (JB):              0.918
Skew:                       0.827   Prob(JB):                      0.632
Kurtosis:                   2.862   Cond. No.                       7.32
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