Introduction When estimating a regression model, we are often interested in how a change in the level of a particular variable, or treatment, affects our outcome of interest.
We are looking to estimate a random variable $Y$ as some function $f(\mathbf{X})$ using a set of linear predictors $\mathbf{X}$ that we suspect might cause $Y$.
