 Schur complement covariance

For finite second moments and $\mathrm{Var}(X)>0$, the residual variance after affine projection onto one predictor $X$ is $\mathrm{Var}(Y)-\mathrm{Cov}(X,Y{)}^2/\mathrm{Var}(X)$, a covariance Schur complement.