Mathematics - Regression techniques

Regression techniques are statistical methods used to model and analyze the relationship between a dependent variable and one or more independent variables. They help in predicting outcomes and identifying the strength of predictors. Common methods include linear regression, which models linear relationships, and nonlinear regression for more complex patterns. These techniques are essential in fields like economics, biology, and data science for making informed decisions based on data analysis.