This document discusses measuring linear association between variables through scatterplots and correlation. It defines correlation as a measure of the strength and direction of linear association between two quantitative variables. Correlation values range from -1 to 1, with -1 indicating a perfect negative linear relationship and 1 indicating a perfect positive linear relationship. The document cautions that correlation only measures linear association and provides an example where data sets with identical correlations show different relationships.