A situation in a factorial analysis of variance in which the combination of variables has an effect that could not be predicted from the effects of two variables individually is known as:
A)a main effect
B)a marginal effect
C)an interaction effect
D)a grouping effect

Question

Quizplus · Accepted Answer

An interaction effect is when the combination of variables has a greater effect than just the individual effects of each variable. In other words, the effect of one variable depends on the level of the other variable. This type of effect is commonly analyzed in a factorial ANOVA, which allows for the examination of multiple variables and their interactions. Main effects are the individual effects of each variable, and marginal effects refer to the overall effect of a single variable without considering the other variables. Grouping effects are not commonly used terminology in factorial ANOVA.

A Situation in a Factorial Analysis of Variance in Which