Linear Regression and Modeling

Linear Regression and Modeling


Statistical Science



4 weeks



“Linear Regression and Modeling” is course 3 of 5 in the Statistics with R Coursera Specialization.

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.


Mine Çetinkaya-Rundel
Mine Çetinkaya-Rundel

Associate Professor of the Practice in the Department of Statistical Science

Mathematics / Open online course

Data Science Math Skills

Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data... Learn More

Statistics & Data Analysis / Coursera specialization

Statistics with R

In this Specialization, you will learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the... Learn More

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