MIT 15.071 The Analytics Edge, Spring 2017 3.2.4 Introduction to Logistical Regression - Video 3: Logistic Regression
3.2.4 Introduction to Logistical Regression - Video 3: Logistic Regression Transcript and Lesson Notes
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Alison O'Hair Predicting the probability of the outcome variable being true. License: Creative Commons BY-NC-
Quick Summary
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Alison O'Hair Predicting the probability of the outcome variable being true. License: Creative Commons BY-NC-
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: Alison O'Hair Predicting the probability of the outcome variable being true. License: Creative Commons BY-NC-
- Understand how odds fits into 3.2.4 Introduction to Logistical Regression - Video 3: Logistic Regression.
- Understand how probability of poor care fits into 3.2.4 Introduction to Logistical Regression - Video 3: Logistic Regression.
- Understand how probability of good care fits into 3.2.4 Introduction to Logistical Regression - Video 3: Logistic Regression.
Key Concepts
Full Transcript
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Alison O'Hair Predicting the probability of the outcome variable being true. 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 3.2.4 Introduction to Logistical Regression - Video 3: Logistic Regression about?
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Alison O'Hair Predicting the probability of the outcome variable being true. License: Creative Commons BY-NC-
What key concepts are covered in this lesson?
The lesson covers odds, probability of poor care, probability of good care.
What should I learn before 3.2.4 Introduction to Logistical Regression - Video 3: Logistic Regression?
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: odds, probability of poor care, probability of good care.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
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