multicollinerwity a violation of homoscedasticty/equal variance a violation of linearity makes it hard to separate out the individual effects of the correlated variables on the dependent variable means we should be wary of plugging X into the regression equation to estimate the mean of Y at X. means that even if linearity is true, confidence intervals for the mean of Y will be too big at some X and too small at other X