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Back to Linear Regression and Modeling

Linear Regression and Modeling , Duke University

910 ratings
163 reviews

About this Course

This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores? Can we predict the test score for a child based on certain characteristics of his or her mother? In this course, you will learn the fundamental theory behind linear regression and, through data examples, learn to fit, examine, and utilize regression models to examine relationships between multiple variables, using the free statistical software R and RStudio....

Top reviews


May 24, 2017

Very good course taught by Dr. Mine who is as always a very good teacher. The videos are very eloquent and easy to understand. Highly recommend it if you are looking for a basic refresher course.


Sep 15, 2017

fantastic course on linear regression, concepts are well explained followed by quiz and practical exercises.\n\nthough you need to complete the prior courses to understand this.

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161 Reviews

By FangYiWang

Apr 19, 2019

A good course for Bayesian statistics.

By Anukul

Apr 03, 2019

it provides a superficial knowledge. A deep understanding of subject can not be gain from this course

By Alfredo José Neto

Mar 29, 2019

Excellent. A well designed course and the explanation are very easy to understand

By Henri Menager

Mar 22, 2019

Great contents and great teacher. I enjoyed it very much.

By GUO Shiwen

Mar 19, 2019

Nice module! It is very clear.

By Aleix Dorca

Mar 03, 2019

Very good, and most important of all, very well explained!

By Richard Millington

Feb 05, 2019

Really great course, clear and easy to follow. Highlight recommended.

By Olga

Jan 27, 2019

Great course!

By Sergio Escalante Trejos

Jan 22, 2019

The applications of linear regression models are vast. This is a useful course.


Jan 16, 2019

Simple syllabus, but excellent explanation.