 0 (the y-intercept) corresponds to an infinite substrate concentration, where 1 / v = 1 / Vmax as shown at the right; thus, the x-intercept is an extrapolation of the experimental data taken at positive concentrations. More generally, the Lineweaver – Burk plot skews the importance of measurements taken at low substrate concentrations and, thus, can yield inaccurate estimates of Vmax and KM. A more accurate linear plotting method is the Eadie-Hofstee plot. In this case, v is plotted against v / [S]. In the third common linear representation, the Hanes-Woolf plot, [S] / v is plotted against [S]. In general, data normalisation can help diminish the amount of experimental work and can increase the reliability of the output, and is suitable for both graphical and numerical analysis.
