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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귀하가 습득할 기술
- 5 stars80.14%
- 4 stars16.07%
- 3 stars2.96%
- 2 stars0.24%
- 1 star0.55%
LINEAR REGRESSION AND MODELING 의 최상위 리뷰
Files for this course were broken and I faced a lot of trouble to find good one. This course may be made more comprehensive and not assuming that reader have also understanding.
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.
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.
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.
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Will I receive a transcript from Duke University for completing this course?
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