At the end of the 19th century, Pearson’s student George Udny Yule (1871–1951) introduced a novel approach to interpreting correlation and regression with a conceptually new use of the method of least squares, which is a mathematical tool that reduces the influence of errors when fitting a regression line to a set of data points.