Regression Models

2 weeks to complete at 10 hours a week
Flexible Schedule

Brian Caffo, PhD , Roger D. Peng, PhD , Jeff Leek, PhD

What You’ll Learn

Use regression analysis, least squares and inference

Understand ANOVA and ANCOVA model cases

Investigate analysis of residuals and variability

Describe novel uses of regression models such as scatterplot smoothing

Skills You’ll Gain

Regression Analysis Predictive Modeling Data Science Statistical Analysis Probability & Statistics Statistical Modeling Statistical Inference

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Develop Your Specialized Knowledge

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

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There are 4 modules in this course

This week, we focus on least squares and linear regression.

This week, we will work through the remainder of linear regression and then turn to the first part of multivariable regression.

This week, we'll build on last week's introduction to multivariable regression with some examples and then cover residuals, diagnostics, variance inflation, and model comparison.

This week, we will work on generalized linear models, including binary outcomes and Poisson regression.