ABSTRACT
Regression analysis, as discussed in the previous chapter, looks for relationships between a dependent variable (the response) and one or more independent variables (the factors). These are called univariate methods. Multivariate methods, on the other hand, look for relationships between random variables, considering them collectively. Multivariate methods initially consider each relationship to be equally important and then go on to assess which variables are related and which are not. As with so many other statistical techniques, the approach to multivariate methods has been revolutionized by the ready availability of computing power.
