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the two-way anova compares the mean differences between groups that have been split on two independent variables (called factors). the primary purpose of a two-way anova is to understand if there is an interaction between the two independent variables on the dependent variable. in statistics, the two-way analysis of variance (anova) is an extension of the one-way anova that examines the influence of two different categorical independent variables on one continuous dependent variable. the two-way analysis of variance is an extension to the one-way analysis of variance. there are two independent variables (hence the name two-way). the two-way anova is an extension of the one-way anova. the “two-way” comes because each item is classified in two ways, as opposed to use two-way anova when you have one measurement variable and two nominal variables, and each value of one nominal variable is found in
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