Covariance Matrix, Regression Analysis, Standard Error, Confidence Interval, Hands On Tutorials.
label='PDF') plt.xlabel(var_name) plt.ylabel('Density') plt.show() #Plot the PDFs of the three coefficient estimates draw_pdf(df_sample_beta['Intercept'], 0, 100, 'estimated Intercept ') data=df_sample_beta['Curb_Weight'] draw_pdf(data, min(data)*0.9, max(data)*1.1, 'estimated coefficient for