MIT 15.071 The Analytics Edge, Spring 2017 2.2.11 An Introduction to Linear Regression - Video 6: Correlation and Multicollinearity
2.2.11 An Introduction to Linear Regression - Video 6: Correlation and Multicollinearity Transcript and Lesson Notes
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Explores significant relationships between variables in the model. License: Creative Commons B
Quick Summary
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Explores significant relationships between variables in the model. License: Creative Commons B
Key Takeaways
- Review the core idea: MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Explores significant relationships between variables in the model. License: Creative Commons B
- Understand how linear relationships fits into 2.2.11 An Introduction to Linear Regression - Video 6: Correlation and Multicollinearity.
- Understand how perfect negative fits into 2.2.11 An Introduction to Linear Regression - Video 6: Correlation and Multicollinearity.
- Understand how perfect positive fits into 2.2.11 An Introduction to Linear Regression - Video 6: Correlation and Multicollinearity.
- Understand how absolute value fits into 2.2.11 An Introduction to Linear Regression - Video 6: Correlation and Multicollinearity.
Key Concepts
Full Transcript
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Explores significant relationships between variables in the model. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
Lesson FAQs
What is 2.2.11 An Introduction to Linear Regression - Video 6: Correlation and Multicollinearity about?
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Explores significant relationships between variables in the model. License: Creative Commons B
What key concepts are covered in this lesson?
The lesson covers linear relationships, perfect negative, perfect positive, absolute value, cor function.
What should I learn before 2.2.11 An Introduction to Linear Regression - Video 6: Correlation and Multicollinearity?
Review the previous lessons in MIT 15.071 The Analytics Edge, Spring 2017, then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: linear relationships, perfect negative, perfect positive, absolute value.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
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