Khan Academy on a Stick
Regression
Fitting a line to points. Linear regression. R-squared.
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Correlation and Causality
ccUnderstanding why correlation does not imply causality (even though many in the press and some researchers often imply otherwise)
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Fitting a Line to Data
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Squared Error of Regression Line
ccIntroduction to the idea that one can find a line that minimizes the squared distances to the points
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Proof (Part 1) Minimizing Squared Error to Regression Line
ccProof (Part 1) Minimizing Squared Error to Regression Line
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Proof Part 2 Minimizing Squared Error to Line
ccProof Part 2 Minimizing Squared Error to Line
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Proof (Part 3) Minimizing Squared Error to Regression Line
ccProof (Part 3) Minimizing Squared Error to Regression Line
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Proof (Part 4) Minimizing Squared Error to Regression Line
ccProof (Part 4) Minimizing Squared Error to Regression Line
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Regression Line Example
ccRegression Line Example
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Second Regression Example
ccSecond Regression Example
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R-Squared or Coefficient of Determination
ccR-Squared or Coefficient of Determination
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Calculating R-Squared
ccCalculating R-Squared to see how well a regression line fits data
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Covariance and the Regression Line
ccCovariance, Variance and the Slope of the Regression Line
Linear regression and correlation
Even when there might be a rough linear relationship between two variables, the data in the real-world is never as clean as you want it to be. This tutorial helps you think about how you can best fit a line to the relationship between two variables.