ABSTRACT
Up to now we have looked at the correlation between two variables. Yet we can consider the correlation between three or more variables, say IQ, school grades, university grades and occupational performance. Dealing with many variables at the same time is referred to as multivariate analysis. In this chapter we shall be examining both correlation and regression with more than two variables as this is often an important form of analysis when we collect information about a number of factors (such as in a questionnaire or survey) and we want to investigate the relationships between them. For example, we might wish to study the relationship between housing quality, housing density, social support networks and pollution levels on health.
