Regression analysis is a statistical technique that is used to model the relationship between a dependent variable and one or more independent variables. It is often used to predict the value of the dependent variable based on the values of the independent variables.

For example, a researcher might use regression analysis to model the relationship between a person’s age and their income. In this case, the dependent variable would be income, and the independent variable would be age. By analyzing the data, the researcher might be able to identify a statistical relationship between the two variables, and use this relationship to make predictions about a person’s income based on their age.

There are several types of regression analysis, including simple linear regression, multiple linear regression, and nonlinear regression. The appropriate type of regression analysis will depend on the nature of the data and the research question at hand.