Two-way ANOVA is a statistical method used to determine the effect of two independent categorical variables on a continuous dependent variable, while also examining the interaction between these independent variables. It is particularly useful in understanding the complex interplay between factors and determining whether there is a significant interaction effect that influences the outcome variable.

Two-way ANOVA

Statistical methods are a collection of mathematical techniques used to analyze and interpret data, helping to make informed decisions based on empirical evidence. They encompass a range of procedures, including data collection, analysis, interpretation, and presentation, enabling researchers to draw valid conclusions and predictions from data samples.

statistical method

independent categorical variables

continuous dependent variable

Interaction between independent variables

complex interplay between factors

significant interaction effect

An outcome variable, also known as a dependent variable, is the variable in a study or experiment that researchers are interested in understanding, explaining, or predicting. It is the variable that is affected by other variables, often called independent variables, and is measured to determine the effect of these variables.

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