# Residual mean square

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In statistics, the residual mean square is defined as

${\displaystyle \mathrm {RMS} ={\frac {\mathrm {WRSS} }{\mathrm {df} }}}$

where df is the degree of freedom. In many simple cases, df = N − γ where N is the number of discrete data points fitted and γ is the number of identifiable and independently fitted parameters.