Nonlinear Regression

Nonlinear regression is a statistical method used to model the relationship between variables when that relationship isn't a straight line. Unlike linear regression, which assumes a simple, straight-line connection, nonlinear regression allows for curves, peaks, and other complex patterns. This means it can better represent real-world data where factors interact in intricate ways. For example, it could model how a drug's effect changes at different dosages or how a population grows over time. In essence, it helps us understand and predict outcomes in situations where the relationship between variables is more complicated.