An explanation of the relationship between one or more independent variables and a response, dependent, or target variable is provided by a regression model.
The relationship between one or more independent variables and a response, dependent, or target variable can be expressed as a function using a regression model. One can use a linear regression model, for instance, to explain the association between height and weight.
Finding a cause-and-effect relationship between variables, time series modeling, and forecasting are the core applications of regression analysis.
Regression analysis is a type of predictive modeling technique that looks at the relationship between an independent variable (s) and a dependent variable (target) (predictor). This method is used to discover the causal relationship between the variables and for forecasting, time series modeling, and forecasting.
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