Linear and Logistic Regressions
Regression is a way of fitting a model to data. It can quantify the relationship between many predictor variables X, and an outcome variable Y.
When you fit a regression, you can use it to predict new values. We focus on linear and logistic regressions.
Objective:
Learn how to interpret multiple types of regressions
Be able to know when to use each type of regression
Apply regression to real-world datasets for analysis