Chapter 16
Project 5.2: Simple Multivariate Statistics

Are variables related? If so what’s the relationship? An analyst tries to answer these two questions. A negative answer — the null hypothesis — doesn’t require too many supporting details. A positive answer, on the other hand, suggests that a model can be defined to describe the relationship. In this chapter, we’ll look at simple correlation and linear regression as two elements of modeling a relationship between variables.

In this chapter, we’ll expand on some skills of data analysis:

• Use of the built-in statistics library to compute correlation measures and linear regression coefficients.

• Use of the matplotlib library to create images. This means creating plot images outside a Jupyter Lab environment.

• Expanding on the base modeling application to add features.

This chapter’s project will expand on earlier projects. Look back at Chapter 13, Project 4.1: Visual Analysis...