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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Habilidades que obtendrás
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- 5 stars80,11 %
- 4 stars16,08 %
- 3 stars2,99 %
- 2 stars0,24 %
- 1 star0,56 %
Principales reseñas sobre LINEAR REGRESSION AND MODELING
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.
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.
The structure of this course is really good. The slides demonstrates everything clearly. The speed that the instructor talks is good too.
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Will I receive a transcript from Duke University for completing this course?
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