This document contains notes from a statistics lesson. It discusses choosing the best line of fit for linear relationships by looking at residuals, which are the differences between actual and predicted y-values. The best fit line minimizes the sum of squared residuals. Knowing the residuals allows calculating the error of prediction, with smaller residuals indicating a good fit and low error. Students are instructed to work independently on an exercise applying these concepts of line of best fit and residuals.