Summary

This chapter focused on discovering a simple relationship between an outcome variable and a predictor variable. You learned how to use several statistical and graphing nodes to determine which fields are related to each other. Specifically, you learned to use the Distribution and Matrix nodes to assess the relationship between two categorical variables. You also learned how to use the Histogram and Means nodes to identify the relationship between categorical and continuous fields. Finally, you were introduced to the Plot and Statistics nodes to investigate relationships between continuous fields.

In the next chapter, you will be introduced to the different types of models available in Modeler and then provided with an overview of the predictive models. Readers will also be introduced to the Partition node so they can create training and testing datasets.