Polynomial Regression

Polynomial regression is a type of statistical analysis used to model the relationship between a dependent variable and one or more independent variables using a polynomial equation. Unlike linear regression, which assumes a straight-line relationship, polynomial regression can capture curves and more complex patterns in the data. This is done by fitting a polynomial equation of a certain degree (like quadratic, cubic, etc.) to the data points. It's useful in various fields, such as finance, biology, and engineering, where relationships may not be purely linear and can exhibit inflection points or varying rates of change.