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.
About this Course
Skills you will gain
- Linear Regression
- R Programming
- Regression Analysis
Syllabus - What you will learn from this course
About Linear Regression and Modeling
More about Linear Regression
- 5 stars80.20%
- 4 stars16.06%
- 3 stars2.93%
- 2 stars0.24%
- 1 star0.54%
TOP REVIEWS FROM LINEAR REGRESSION AND MODELING
Great course! I've already taken a similar stats course using SPSS and this course was an excellent refresher, while increasing my familiarity with R.
linear regression is well taught throughout the course, but I think learning other types of regression modeling would be useful as well and adding them to the course materials is really good.
It is a very nice course. The instructor's way of delivering the content is flawless and very precise. The course has been designed very nicely.
A great primer on linear regression with labs that help to establish understanding and a project that is focused enough not to be overwhelming, and allows the learner to play around with the concepts
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Specialization?
Is financial aid available?
Will I receive a transcript from Duke University for completing this course?
More questions? Visit the Learner Help Center.