Regression analysis allows the statistics practitioner to use mathematical models to realistically describe relationships between the dependent variable and independent variables.

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Regression analysis is a statistical method that uses mathematical models to describe and analyze relationships between the dependent variable (also known as the response, outcome, or target variable) and one or more independent variables (also known as predictors, covariates, or explanatory variables). The aim of regression analysis is to make predictions about the value of the dependent variable based on the values of the independent variables. These predictions are based on the estimated parameters of the regression model, which can be derived through techniques such as ordinary least squares (OLS) regression, logistic regression, or other methods. Regression analysis is a powerful tool for investigating relationships between variables and making predictions based on empirical data.

Regression Analysis Allows the Statistics Practitioner to Use Mathematical Models