Regression with R and Python — Chapter 14: Key Concepts (pdf)
Regression with R and Python — Chapter 14: Key Concepts
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Regression with R and Python — Chapter 14: Key Concepts
Chapter 14 of Regression with R and Python by Per Johansson and Jiajing Sun: Key Concepts. Includes the chapter lecture, teaching slides, and 13 review questions.
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Courselet Content
2 components
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481.13 K | |
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Regression with R and Python — Chapter 14: Key Concepts (video)
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32 min |
Requirements
- Introductory statistics is helpful. R or Python can be used for the practical examples. Earlier chapters provide preparation for the later chapters.
General Overview
Description
Regression with R and Python — Chapter 14: Key Concepts
Chapter 14 of Regression with R and Python by Per Johansson and Jiajing Sun: Key Concepts. Includes the chapter lecture, teaching slides, and 13 review questions.
This chapter is part of Regression with R and Python: Description, Prediction, and Causal Analysis in Social Science and Medicine by Per Johansson and Jiajing Sun.
Watch the lecture and read the slides in Courselet Content, then complete the chapter quiz.
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