What is an interaction effect in an anova?
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When an interaction effect is present, the impact of one factor depends on the level of the other factor. Part of the power of ANOVA is the ability to estimate and test interaction effects.
When interaction effects are present, it means that interpretation of the main effects is incomplete or misleading.
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When interaction effects are present, it means that interpretation of the main effects is incomplete or misleading.
hope this will help you
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Interaction effects occur when the effect of one variable depends on the value of another variable. Interaction effects are common in regression analysis, ANOVA, and designed experiments. Interaction effects indicate that a third variable influences the relationship between an independent and dependent variable.
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