s2=Sxxn−1s squared equals the fraction with numerator cap S sub x x end-sub and denominator n minus 1 end-fraction To find the , you take the square root of that result:
The formula for the slope is: $$\beta_1 = \fracS_xyS_xx$$ sxx variance formula
It seems you’re looking for a paper or derivation related to the term — a common notation in statistics, particularly in simple linear regression and sum of squares decomposition . s2=Sxxn−1s squared equals the fraction with numerator cap
In the context of simple linear regression: sxx variance formula
$$S_xx = \sum x^2 - \frac(\sum x)^2n$$