Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud

15.4 Case Study: Time Series and Simple Linear Regression

In the previous section, we demonstrated classification in which each sample was associated with a distinct class. Here, we continue our discussion of simple linear regression—the simplest of the regression algorithms—that began in Chapter 10’s Intro to Data Science section. Recall that given a collection of numeric values representing an independent variable and a dependent variable, simple linear regression describes the relationship between these variables with a straight line, known as the regression line.

Previously, we performed simple linear regression on a time series of average New York City January high-temperature data for 1895 through 2018. In that example, we used Seaborn’s ...