= Residual standard error
{title2=$s=\sqrt{\operatorname{RSS}/(n-p)}$}
In a full-rank <normal linear model> with $n$ observations and $p$ mean coefficients, the residual standard error estimates the common error standard deviation. Its square is the <unbiased estimator> $\operatorname{RSS}/(n-p)$; the square root itself is not generally unbiased. It measures unexplained response variation, whereas a regression coefficient's <standard error> measures uncertainty in that coefficient.
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