A multiple dummy variable is a categorical variable that can take on multiple values and is represented in regression analysis by creating separate binary variables for each category, except one as a reference category. This allows researchers to include qualitative data in quantitative models, effectively capturing the effects of different categories on the dependent variable while avoiding the dummy variable trap.
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