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Lecture
Linear Regression: Fundamentals and Goodness of Fit
Description
This lecture covers the fundamentals of linear regression, including the definition of linearity in regression parameters, issues with non-linear regression, and the concept of goodness of fit measured by R-squared. It also introduces Anscombe's quartet and the Datasaurus dataset, highlighting the importance of understanding data beyond summary statistics.
Official source
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