Ultimately, data analysis is about understanding relationships among variables. Exploring data with multiple variables requires new, more complex tools, but enables a richer set of comparisons. In this tutorial, you will learn about regression techniques. You’ll first learn about simple linear regression models, before moving on to multiple and logistic regression techniques.
Learning objectives
Fit, interpret, and assess simple linear regression models
Measure and interpret model fit
Identify and attend to the disparate impact that unusual data observations may have on a regression model
Compute and visualize model predictions
Visualize, fit, interpret, and assess a variety of multiple regression models, including those with interaction terms
Visualize, fit, interpret, and assess logistic regression models