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General Maths Units 1 and 2

Pearsons correlation coefficient and Causality

Investigating relationships between two numerical variables

13:36 Lesson length
12 Chapters
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About this lesson
This video looks at what Pearson's correlation coefficient is and how we use it to relate the closeness of the points of a scatter plot to the line of best fit (otherwise called the Least Squares Regression Line). It is part of the VCE General Maths course (Year 11) and relates to the module of work on Data and Statistics. A brief look at how it is calculated is followed by a discussion of the table and what it means. Then, strangely we look at the ideas behind Correlation and Causality! Looking at Common Responses, Confounding Variables and Coincidences, we decide which can explain a relationship between two numerical variables. There are a number of worked examples and explanations which "just make sense".
Lesson chapters
  1. Introduction
  2. Welcome
  3. Learning objectives
  4. Recap of past learning
  5. Pearson's correlation coefficient
  6. Some examples
  7. Even more examples
  8. Important Information
  9. Common response
  10. Confounding variables
  11. Coincidence
  12. Closing remarks
Legal (VCAA)

VCE Maths exam question content used by permission, ©VCAA. The VCAA is not affiliated with, and does not endorse, this video resource. VCE® is a registered trademark of the VCAA. Past VCE exams and related content can be accessed at www.vcaa.vic.edu.au

Video details
  • Title Pearsons correlation coefficient and Causality
  • Section Investigating relationships between two numerical variables
  • Course General Maths Units 1 and 2

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