Course: Regression Models

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Lecture Materials

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The links below are to the materials used during the lecture portions of this course. To sign up to take the course online, please visit the Johns Hopkins Data Science Specialization.

Module 1

» Lecture 1.1: Introduction to Regression

» Lecture 1.2: Basic Notation and Background

» Lecture 1.3: Linear Least Squares

» Lecture 1.4: Regression to the Mean

» Lecture 1.5: Statistical Linear Regression Models

» Lecture 1.6: Residuals

» Lecture 1.7: Inference in Regression

Module 2

» Lecture 2.1: Multivariate Regression

» Lecture 2.2: Multivariable Regression Example

» Lecture 2.3: Multivariable Simulation Exercises

» Lecture 2.4: Residuals

» Lecture 2.5: Some thoughts on model selection

Module 3

» Lecture 3.1: Generalized Linear Models

» Lecture 3.2: Binary Data GLMs

» Lecture 3.3: Poisson Regression

» Lecture 3.4: Fitting Functions