![]() ![]() A multi-factor ANOVA is similar to a one-way ANOVA in that an F-statistic is calculated to measure the amount of variation accounted for by each predictor relative to the left-over error variance. A multi-factor ANOVA or general linear model can be run to determine if more than one numeric or categorical predictor explains variation in a numeric outcome.
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