correlation is very common in the real world multivariate regression is using more than one predictor variable to model an outcome reasons to use multivariate regression: a way of “controlling” for confounding variables multiple causation interaction between variables this chapter focuses on two thing multivariate models can help with: revealing spurious correlations revealing important correlations masked by hidden correlations of other variables this chapter will also discuss: multicolinearity categorical variables 5.