The diagonal values of the hat matrix, 𝐻 𝑖𝑖 , are the leverages of the edges. Leverage values range from 1∕𝑛 to 1. A leverage value of 1 is a potentially influential point on the regression and may be an x-axis outlier. Further, as the leverage of a point approaches 1, the residual of that point decreases. A high-leverage point is problematic if the exclusion of the point dramatically changes the the linear model. Using Eqs. 5 and 6, the fitted relative changes in free energy, 𝚫 Ĝ𝐨𝐛𝐬 , are 𝚫 Ĝ𝐨𝐛𝐬 = 𝐇𝚫𝐆 𝐨𝐛𝐬 . Consequently, leverages describe the potential for a particular observation to influence its prediction in 𝚫 Ĝ𝐨𝐛𝐬 .