In a two-way ANOVA, it is easier to interpret main effects when the interaction component is not significant.

Name: In a two-way ANOVA, it is easier to interpret main effects when the interaction component is not significant.
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When the interaction component is not significant, it means that the effect of one independent variable does not depend on the other. This makes it easier to interpret the main effects because they are not being influenced by the presence of the other independent variable.

In a Two-Way ANOVA, It Is Easier to Interpret Main