Data Science, Causal Inference, Linear Regression, Getting Started, Ab Testing.
mentioned before, the coefficient for treatment estimates the impact after accounting for all the other factors in the equation. When we added complexity to our linear regression, it reduced the variance of residuals, and that’s why we got a narrower confidence interval for time. Let’s double-check