Data Science, Causal Inference, Linear Regression, Getting Started, Ab Testing.
that complexity explains a significant proportion of variance. We can see a considerable decrease: time spent has a variance equal to 16.6, but when we account for complexity, it reduces to just 5.9. time_model = smf.ols('time_spent_mins ~ complexity', data=df).fit() print('Initial variance: %.2f'