In this chapter, we discussed how to create linear regression, logistic regression, and other nonlinear regression based methods for predicting the outcome of a variable in a business scenario. Regression methods are basically very important in data mining projects, in order to create predictive models to know the future values of the unknown independent variables. We looked at various scenarios where we understood which type of model can be applied where. In the next chapter, we are going to talk about association rules or market basket analysis to understand important patterns hidden in a transactional database.