Introduction and Exploratory Data Analysis

We introduced ideas related to modeling for explanation, in particular that the goal of modeling is to make explicit the relationship between some outcome variable $y$ and some explanatory variable $x$. While there are many approaches to modeling, we focused on one particular technique, which is linear regression. Linear regression is one of the most commonly used and easy-to-understand approaches to modeling. Furthermore, to keep things simple, we only considered models with one explanatory $x$ variable that was either numerical or categorical.

In multiple regression, we’ll ...