Data Science Statistics
A categorical independent variable is a type of variable used in statistical analysis that can take on one of several distinct categories, rather than a numerical value. These variables are essential for grouping data into different categories to observe how they influence a dependent variable. In the context of statistical tests, like ANOVA, these variables help in comparing means across groups defined by different categories.
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