Dummy variable trap

The dummy variable trap is a situation that arises in regression analysis when dummy variables are improperly included in a model, leading to perfect multicollinearity. This occurs when the dummy variables used to represent categorical variables are redundant, making the regression model unable to estimate unique coefficients.

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