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 stars16.12%
- 3 stars2.98%
- 2 stars0.24%
- 1 star0.56%
TOP REVIEWS FROM LINEAR REGRESSION AND MODELING
I learn a lot. It added more lessons beyond my graduate school. Especially that the course is based on R, this course is very helpful for my journey towards using R.
fantastic course on linear regression, concepts are well explained followed by quiz and practical exercises.
though you need to complete the prior courses to understand this.
Very good course. while it does not cover everything. the teacher does a great job explaining things in a simple manner. My feed back would be to move ANOVA into this module.
Excellent Course. Mine, the teacher is a great great teacher. The mentors help a lot.
Technical parts, coursera platform should work better
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