= Σxᵢ² – n·x̄²
Let’s take a small dataset: ( x = [4, 8, 6, 5, 3] )
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| x | |---| | 1 | | 2 | | 2 | | 3 | | 5 | | 8 |
[ \textVariance of x \ (s^2_x) = \fracS_xxn - 1 ] for a , and [ \textVariance of x \ (\sigma^2_x) = \fracS_xxn ] for a population .
s=Sxxn−1s equals the square root of the fraction with numerator cap S sub x x end-sub and denominator n minus 1 end-fraction end-root Role in Linear Regression Beyond simple spread, Sxxcap S sub x x end-sub
