The response variable is a continuous numeric variable.Įxample: A retail company may fit a linear regression model using advertising spend to predict total sales.The relationship between the predictor variable(s) and the response variable is reasonably linear.Linear regression is used to fit a regression model that describes the relationship between one or more predictor variables and a numeric response variable. In this article we share the 7 most commonly used regression models in real life along with when to use each type of regression. The basic goal of regression analysis is to fit a model that best describes the relationship between one or more predictor variables and a response variable. Regression analysis is one of the most commonly used techniques in statistics.
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