MIT 15.071 The Analytics Edge, Spring 2017 3.2.6 Introduction to Logistical Regression - Video 4: Logistic Regression in R
3.2.6 Introduction to Logistical Regression - Video 4: Logistic Regression in R 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 Exploration of the model for healthcare quality. License: Creative Commons BY-NC-SA More infor
Quick Summary
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Exploration of the model for healthcare quality. License: Creative Commons BY-NC-SA More infor
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 Exploration of the model for healthcare quality. License: Creative Commons BY-NC-SA More infor
- Understand how 15-071-the-analytics-edge-spring-2017 fits into 3.2.6 Introduction to Logistical Regression - Video 4: Logistic Regression in R.
- Understand how catools fits into 3.2.6 Introduction to Logistical Regression - Video 4: Logistic Regression in R.
- Understand how data points fits into 3.2.6 Introduction to Logistical Regression - Video 4: Logistic Regression in R.
- Understand how data trends fits into 3.2.6 Introduction to Logistical Regression - Video 4: Logistic Regression in R.
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 Exploration of the model for healthcare quality. 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 3.2.6 Introduction to Logistical Regression - Video 4: Logistic Regression in R about?
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Allison O'Hair Exploration of the model for healthcare quality. License: Creative Commons BY-NC-SA More infor
What key concepts are covered in this lesson?
The lesson covers 15-071-the-analytics-edge-spring-2017, catools, data points, data trends, independent variables.
What should I learn before 3.2.6 Introduction to Logistical Regression - Video 4: Logistic Regression in R?
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: 15-071-the-analytics-edge-spring-2017, catools, data points, data trends.
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