One of the most commonly used models for describing phosphorus (P) sorption to soils is the Langmuir model. Because the Langmuir model is nonlinear it must be solved iteratively using an optimization program. Alternatively, a linearized version of the Langmuir model can be used so that model parameters can be obtained using linear regression; however, the transformation of data required for linearization can lead to misleading results. Although concerns have been raised in the past regarding the use of linearized equations, this practice is still commonly used today for describing P sorption to soils. The goal of this research was to investigate more fully the impact of linearization of the Langmuir equation on the accuracy of fitted parameter values and assessments of goodness of fit. Three different linearized versions of the Langmuir model were fit to sorption data collected on three western