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.
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- 5 stars80,12 %
- 4 stars16,05 %
- 3 stars3 %
- 2 stars0,25 %
- 1 star0,56 %
Meilleurs avis pour 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.
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.
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.
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.
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