In Chapter 7, Exploring Association Rules with Apriori, we examined association rules with
apriori. In the previous chapter, we have notably examined statistical distribution and the relationships between two attributes using several measures of association. These didn't infer any causation between the attributes, only dependence. If we have normally distributed attributes and want to examine how one attribute affects another attribute, we can rely on simple linear regression instead. If we want to examine how several attributes affect an attribute, we can rely on multiple linear regressions.
In this chapter, we will notably: