This document discusses concepts in econometrics and provides an example using Indy 500 race data. It introduces ordinary least squares (OLS) and least absolute deviation (LAD) as two main technical concepts in econometrics. It then analyzes the Indy 500 data set to determine the average rate of increase in miles per hour of winning cars over time using OLS and LAD to fit trend lines to the data.