Linear Regression, Statistics, Machine Learning, Data Science, Technology.
t_stats.append(t_stat) #p-value of t-stat p[|t_stat| >= t-treshhold two sided] p_value = t.sf(np.abs(t_stat),N-2) * 2 p_values.append(np.round(p_value,3)) #Confidence intervals = beta_hat -+ margin_of_error t_critical = t.ppf(q =1-0.05/2, df = N-2) margin_of_error = t_critical*SE_i CI =