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regression basics
The Simple Logic Behind the $\widehat\beta$ of the OLS
The (in)famous OLS estimator, \(\widehat\beta = (X^{T}X)^{-1}X^{T}y\). When people see this formula for the first time, the first reaction is to assume that it came from complex mathematical proofs, so it is OK if it’s not very intuitive.
Last updated on Jun 10, 2021
7 min read
R
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regression basics
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