Khan Academy on a Stick
Regression
Fitting a line to points. Linear regression. Rsquared.

Correlation and Causality
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Understanding why correlation does not imply causality (even though many in the press and some researchers often imply otherwise)

Fitting a Line to Data
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Squared Error of Regression Line
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Introduction to the idea that one can find a line that minimizes the squared distances to the points

Proof (Part 1) Minimizing Squared Error to Regression Line
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Proof (Part 1) Minimizing Squared Error to Regression Line

Proof Part 2 Minimizing Squared Error to Line
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Proof Part 2 Minimizing Squared Error to Line

Proof (Part 3) Minimizing Squared Error to Regression Line
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Proof (Part 3) Minimizing Squared Error to Regression Line

Proof (Part 4) Minimizing Squared Error to Regression Line
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Proof (Part 4) Minimizing Squared Error to Regression Line

Regression Line Example
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Regression Line Example

Second Regression Example
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Second Regression Example

RSquared or Coefficient of Determination
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RSquared or Coefficient of Determination

Calculating RSquared
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Calculating RSquared to see how well a regression line fits data

Covariance and the Regression Line
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Covariance, 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 realworld 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.