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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About this Course
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- Statistics
- Linear Regression
- R Programming
- Regression Analysis
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Syllabus - What you will learn from this course
About Linear Regression and Modeling
Linear Regression
More about Linear Regression
Multiple Regression
Reviews
- 5 stars80.14%
- 4 stars16.08%
- 3 stars2.97%
- 2 stars0.24%
- 1 star0.54%
TOP REVIEWS FROM LINEAR REGRESSION AND MODELING
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.
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.
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.
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.
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