Summary

A simple normal least squares linear regression failed to capture the curvature in the relationship and violated the assumption of approximately equal variability around the regression line. As is often the case, the variance increases with the mean. A square-root transformation of the Janka hardness data produced a linear relationship, but the variability is still unequal. In contrast, log transformation equalizes the variability but generates its own curvature.