A variable such as z, whose value is z = x₁x₂ is added to a general linear model in order to account for potential effects of two variables x₁ and x₂ acting together. This type of effect is _____. A) impossible to occur B) called interaction C) called multicollinearity effect D) called transformation effect

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The effect described is called interaction, which occurs when the effect of one predictor variable on the response variable depends on the level of another predictor variable. Multicollinearity refers to high correlation between predictor variables, and transformation effect refers to the impact of transforming a predictor variable (e.g. log transformation). It is not impossible for interaction to occur.

A Variable Such as Z, Whose Value Is Z =