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Definition of model without intercept

A model without an intercept is a linear regression model in which the intercept term is set to zero. This means that the regression line passes through the origin (0,0) and the predicted value of the dependent variable is always zero when the independent variable is zero. This type of model is often used when the researcher believes that the dependent variable should be zero when the independent variable is zero.

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The term "model without intercept" refers to a statistical model that does not include an intercept term. In statistical regression analysis, an intercept term represents the starting point or baseline value of the dependent variable when all independent variables are set to zero. By excluding the intercept, a model without intercept assumes that the dependent variable has a zero value when all independent variables are zero. This can be useful in certain situations, such as when the intercept term is not meaningful or when it is undesirable to include it in the model. However, it is crucial to carefully interpret and analyze the results of a model without intercept, as it may impact the overall understanding and predictions of the data.