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.
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 stars80.11%
- 4 stars16.08%
- 3 stars2.99%
- 2 stars0.24%
- 1 star0.56%
LINEAR REGRESSION AND MODELING からの人気レビュー
Excellent Course. Mine, the teacher is a great great teacher. The mentors help a lot.
Technical parts, coursera platform should work better
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 provides a very good introduction to basic linear regression, including simple multiple linear regression, model building and interpretation, model diagnostics, and application in R.
Good, but a little "smaller" than the Inferential statistics course (which is very complete). I would have liked to also learn Logistics regression, which I now have to learn elsewhere.
Will I receive a transcript from Duke University for completing this course?