Residual Standard Error (RSE)

RSE is an estimate of the standard deviation of $ϵ$ :

R S E = \sqrt{\frac{1}{n - 2} R S S} = \sqrt{\frac{1}{n - 2} \sum_{i = 1}^{n} (y_{i} - {\hat{y}}_{i})^{2}}

RSE is considered a measure of the lack of fit of the model to the data. Small RSE, model fits the data well. Large RSE, model doesn't fit the data very well.

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Residual Standard Error (RSE)

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