Sxx Variance Formula __full__

[ \mathrmVar(\hat\beta 1) = \frac\sigma^2S xx ]

$$S_xx = \sum x^2 - \frac(\sum x)^2n$$

Sxx=∑(xi−x̄)2cap S sub x x end-sub equals sum of open paren x sub i minus x bar close paren squared sxx variance formula

b1=SxySxxb sub 1 equals the fraction with numerator cap S sub x y end-sub and denominator cap S sub x x end-sub end-fraction Sxxcap S sub x x end-sub [ \mathrmVar(\hat\beta 1) = \frac\sigma^2S xx ] $$S_xx