Linear Regression, Statistics, Machine Learning, Data Science, Technology.
[np.round(beta_hat[i,0]-margin_of_error,3), np.round(beta_hat[i,0]+margin_of_error,3)] CI_s.append(CI) return(beta_hat, SE, t_stats, p_values,CI_s, MSE, RMSE, R_squared) If you liked this article, here are some other articles you may enjoy: Data Sampling Methods in Python A ready-to-run code with