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
Duke University has about 13,000 undergraduate and graduate students and a world-class faculty helping to expand the frontiers of knowledge. The university has a strong commitment to applying knowledge in service to society, both near its North Carolina campus and around the world.
- 5 stars80.07%
- 4 stars16.14%
- 3 stars2.96%
- 2 stars0.25%
- 1 star0.56%
TOP REVIEWS FROM LINEAR REGRESSION AND MODELING
Good but I felt some gaps in the material made it difficult to learn. Also, the quiz questions are focused on attention to detail "gotcha" questions. This can be frustrating.
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.
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.
This course was good. However, compared to the other courses in the specialisation had less content. I would have liked to have videos on logistic regression as well.
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.