Residuals and Diagnostics part III

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Johns Hopkins University
4.4 (2,621 ratings) | 82K Students Enrolled
Course 7 of 10 in the Data Science Specialization
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Skills You'll Learn

Model Selection, Generalized Linear Model, Linear Regression, Regression Analysis

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BA

Feb 01, 2017

It really helped me to have a better understanding of these Regression Models. However, I've noticed that there is a video recording repeated: Week 3, Model Selection. Part 3 is included in Part 2.

CS

Mar 11, 2019

This module was the maximum. I learned how powerful the use of Regression Models techniques in Data Science analysis is. I thank Professor Brian Caffo for sharing his knowledge with us. Thank you!

From the lesson
Week 3: Multivariable Regression, Residuals, & Diagnostics
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.

Taught By

  • Brian Caffo, PhD

    Brian Caffo, PhD

    Professor, Biostatistics
  • Roger D. Peng, PhD

    Roger D. Peng, PhD

    Associate Professor, Biostatistics
  • Jeff Leek, PhD

    Jeff Leek, PhD

    Associate Professor, Biostatistics

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