ABSTRACT
Much of Chapter 11 was devoted to the use of the Pearson correlation to measure the strength of the association between two measured quantitative variables.
But the associative coin has two sides. On the one hand, a single number can be calculated (a correlation coefficient) which expresses the strength of the association. On the other, however, there is a set of techniques, known as regression methods, which utilise the presence of an association between two variables to predict the values of one (the dependent, target or criterion variable) from those of another (the independent variable, or regressor). It is with this predictive aspect that the present chapter is concerned.
