Covariance Matrix, Regression Analysis, Standard Error, Confidence Interval, Hands On Tutorials.
and y matrices using Patsy y_train, X_train = dmatrices(model_expr, df_sample, return_type='dataframe') # Build an OLS regression model using Statsmodels olsr_model = sm.OLS(endog=y_train, exog=X_train) # Fit the model on (y, X) olsr_results = olsr_model.fit() #Print the training summary of the