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There are two independent variables in a two-way ANOVA. A two-way ANOVA, for example, lets a business to analyse worker productivity across two independent factors, such as department and gender. It's used to track the interaction between the two variables. It examines the impact of two variables at the same time.

The mean of a quantitative variable is estimated using a two-way ANOVA based on the levels of two categorical variables. When you want to know how two independent factors interact to effect a dependent variable, do a two-way ANOVA.

ANOVA is a sort of hypothesis testing that analyses the variance of the different survey groups to determine the experimental outcomes. It is typically used to determine the dataset's outcome.

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