Non-linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables when this relationship is not a straight line. Unlike linear regression, which assumes a constant rate of change, non-linear regression can accommodate curves and more complex patterns, making it suitable for various real-world scenarios. This technique is often applied in fields such as economics, biology, and engineering to analyze data that exhibit exponential growth, logistic growth, or other non-linear trends. By fitting a non-linear equation to the data, researchers can better understand underlying relationships and make more accurate predictions.