Fitting data with nonlinear regression
Harvey J. Motulsky, Arthur Christopoulos · 2004
Abstract Nonlinear regression is used to fit data to a model that defines Yas a function ofX. Y must be a variable like weight, enzyme activity, blood pressure or temperature. Some books refer to these kinds of variables, which are measured on a continuous scale, as “interval” variables. For this example, nonlinear regression will be used to quantify the potency of the drug by determining the dose of drug that causes a response halfway between the minimum and maximum responses. We’ll do this by fitting a model to the data.