Pearsons correlation coefficient and Causality
Investigating relationships between two numerical variables
General Mathematics: Units 1 and 2
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Description

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 notes

Lesson notes are provided in PDF format and can be downloaded by clicking the link below:
LEGAL STUFF

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
Chapters
  Introduction
  Welcome
  Learning objectives
  Recap of past learning
  Pearson's correlation coefficient
  Some examples
  Even more examples
  Important Information
  Common response
  Confounding variables
  Coincidence
  Closing remarks
Video tags

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