Concepts #
Multicollinearity #
Phenomenon in which one predictor variable can be predicted from one another
Homoscedasticity #
Error term being constant across all tuples
Heteroscedasticity #
Error term varies significantly across tuples. Ordinary Least Squares (OLS) gives equal weight to all observations. When heteroscedasticity is present Weighted least squares is to be used.