Regression models are statistical methods used to estimate the relationships among variables. They are particularly useful for predicting a dependent variable (often called the response or target variable) based on one or more independent variables (also known as predictors or features). Regression analysis helps in understanding how the dependent variable changes when any one of the independent variables is varied while keeping the others fixed.
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