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2.4.4 R2. Moneyball in the NBA - Video 3: Points Scored
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MIT 15.071 The Analytics Edge, Spring 2017 - 2.4.4 R2. Moneyball in the NBA - Video 3: Points Scored

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MIT 15.071 The Analytics Edge, Spring 2017 2.4.4 R2. Moneyball in the NBA - Video 3: Points Scored

2.4.4 R2. Moneyball in the NBA - Video 3: Points Scored Transcript and Lesson Notes

MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Angie King How to build an equation to predict points scored using statistical data. License: Creative Common

Quick Summary

MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Angie King How to build an equation to predict points scored using statistical data. License: Creative Common

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: Angie King How to build an equation to predict points scored using statistical data. License: Creative Common
  • Understand how 15-071-the-analytics-edge-spring-2017 fits into 2.4.4 R2. Moneyball in the NBA - Video 3: Points Scored.
  • Understand how assists fits into 2.4.4 R2. Moneyball in the NBA - Video 3: Points Scored.
  • Understand how blocks fits into 2.4.4 R2. Moneyball in the NBA - Video 3: Points Scored.
  • Understand how field goal attempts fits into 2.4.4 R2. Moneyball in the NBA - Video 3: Points Scored.

Key Concepts

Full Transcript

MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Angie King How to build an equation to predict points scored using statistical data. 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 2.4.4 R2. Moneyball in the NBA - Video 3: Points Scored about?

MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Angie King How to build an equation to predict points scored using statistical data. License: Creative Common

What key concepts are covered in this lesson?

The lesson covers 15-071-the-analytics-edge-spring-2017, assists, blocks, field goal attempts, free throw attempts.

What should I learn before 2.4.4 R2. Moneyball in the NBA - Video 3: Points Scored?

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, assists, blocks, field goal attempts.

Does this lesson include a transcript?

Yes. The full transcript is visible on this page in indexable HTML sections.

Is this lesson free?

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