The primary purpose of a Two-Way ANOVA is to determine how two different independent variables influence a dependent variable, while also checking for any interaction between them. It helps in understanding whether each factor has a significant effect on the outcome and whether the combination of the two factors together creates a unique impact that wouldn't be seen if each factor were analyzed separately.

to assess the impact of two independent variables on a dependent variable and their interaction effects.

The primary purpose of Two-Way ANOVA is to examine the effects of two independent variables on a dependent variable and to assess if there is any interaction between them.

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.

The primary purpose of Two-Way ANOVA is to examine the effects of two independent variables (or factors) on a single dependent variable simultaneously, as well as to explore any interaction between the two factors. It allows researchers to determine if each factor individually has a significant effect on the dependent variable and whether the interaction between the two factors also influences the outcome.

The primary purpose of Two-Way ANOVA is to evaluate the effect of two independent categorical variables on a continuous dependent variable, while also assessing the interaction between the two factors.

to assess the impact of two independent variables on a dependent variable and their interaction effects.