In [184]: print(model.summary() OLS Regression Results Dep. Variable: Model: Method: Date: Time: No. Observations: Df Re

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In 184 Print Model Summary Ols Regression Results Dep Variable Model Method Date Time No Observations Df Re 1 (198.91 KiB) Viewed 54 times

In [184]: print(model.summary() OLS Regression Results Dep. Variable: Model: Method: Date: Time: No. Observations: Df Residuals: Df Model: Covariance Type: B OLS Least squares Tue, 10 Oct 2017 11:44:28 10 8 1 nonrobust R-squared: Adj. R-squared: F-statistic: Prob (F-statistic): Log-Likelihood : AIC: BIC: 0.000 -0.125 0.0005452 0.982 -33.201 70.40 71.01 ======= coef std err t P>t [95.0% Conf. Int.] const A 100.4481 -0.0076 32.127 0.327 3.127 -0.023 0.014 0.982 26.363 -0.762 174.533 0.746 Omnibus: Prob(Omnibus): Skew: Kurtosis: 2.865 0.239 -0.191 1.504 Durbin-Watson: Jarque-Bera (JB): Prob(JB): Cond. No. 2.352 0.994 0.608 1.33e+03 ==== According to this output, O the A variable has a positive marginal effect on B the estimated coefficients are statistically significant at 1% confidence level O None of them O it is good regression