ESS210B
Prof. Jin-Yi Yu
Correlation and Regression
qRecall in the linear regression, we show that:
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qWe also know:
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qIt turns out that
the fraction of the variance of y
explained by linear regression
The square of the correlation coefficient is equal to the fraction of variance explained by a linear least-squares fit between two variables.