Comparing means with two categorical variables: ANOVA

- One of the major advantages…of the analysis of variance…is that it allows you to use more than one…categorical predictor variable at a time.…Now the one-way analysis of variance…we had a single categorical variable…but you can combine them,…you can have more than one…and call it for instance…a two factor analysis of variance.…And things can get much more complicated than that.…You can have three or four or five factors,…you can have repeated factors thrown in there.…You can have what are called covariance.…We're not gonna deal with that.…We're gonna deal with a very simple version here.…

We're gonna look at the effect of two categorical variables…on a single scaled outcome.…Let's do that by going up to Analyze.…And as much as I'd like to say…that it would be under Compare Means…because that's where the one-way analysis of variance is,…the two factor analysis of variance is somewhere else.…It's under General Linear Model.…Sometimes called GLM,…not of course to be confused with…Generalized Linear Models…because you see that's a different set of things…