<commit_before>                            OLS Regression Results                            
==============================================================================
Dep. Variable:                    sc1   R-squared:                       0.410
Model:                            OLS   Adj. R-squared:                  0.400
Method:                 Least Squares   F-statistic:                     42.62
Date:                Thu, 20 Jun 2019   Prob (F-statistic):           1.06e-51
Time:                        18:13:16   Log-Likelihood:                -475.12
No. Observations:                 500   AIC:                             968.2
Df Residuals:                     491   BIC:                             1006.
Df Model:                           8                                         
Covariance Type:            nonrobust                                         
==============================================================================
                 coef    std err          t      P>|t|      [0.025      0.975]
------------------------------------------------------------------------------
const          3.4200      0.028    121.092      0.000       3.365       3.475
FEATURE1       0.1238      0.031      3.961      0.000       0.062       0.185
FEATURE2       0.0615      0.033      1.881      0.061      -0.003       0.126
FEATURE3       0.2383      0.034      6.966      0.000       0.171       0.306
FEATURE4       0.2217      0.033      6.778      0.000       0.157       0.286
FEATURE5       0.0592      0.033      1.793      0.074      -0.006       0.124
FEATURE6       0.0500      0.031      1.634      0.103      -0.010       0.110
FEATURE7      -0.0566      0.028     -1.998      0.046      -0.112      -0.001
FEATURE8      -0.0359      0.028     -1.260      0.208      -0.092       0.020<commit_msg>updated one test<commit_after>                            OLS Regression Results                            
==============================================================================
Dep. Variable:                    sc1   R-squared:                       0.410
Model:                            OLS   Adj. R-squared:                  0.400
Method:                 Least Squares   F-statistic:                     42.62
Date:                Thu, 01 Aug 2019   Prob (F-statistic):           1.06e-51
Time:                        12:26:47   Log-Likelihood:                -475.12
No. Observations:                 500   AIC:                             968.2
Df Residuals:                     491   BIC:                             1006.
Df Model:                           8                                         
Covariance Type:            nonrobust                                         
==============================================================================
                 coef    std err          t      P>|t|      [0.025      0.975]
------------------------------------------------------------------------------
const          3.4200      0.028    121.092      0.000       3.365       3.475
FEATURE1       0.1238      0.031      3.961      0.000       0.062       0.185
FEATURE2       0.0615      0.033      1.881      0.061      -0.003       0.126
FEATURE3       0.2383      0.034      6.966      0.000       0.171       0.306
FEATURE4       0.2217      0.033      6.778      0.000       0.157       0.286
FEATURE5       0.0592      0.033      1.793      0.074      -0.006       0.124
FEATURE6       0.0500      0.031      1.634      0.103      -0.010       0.110
FEATURE7      -0.0566      0.028     -1.998      0.046      -0.112      -0.001
FEATURE8      -0.0359      0.028     -1.260      0.208      -0.092       0.020
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