Variance

Var(Y) = 0.0156

Var(X1) = 0.0004

Var(X2) = 27.997

Covariance

Cov(X1, Y) = 0.0025

Cov(X2, Y) = −0.0205

Cov(X1, X2) = 0

Coefficients of correlation

R(X1, Y) = 0.978

R(X2, Y) = −0.031

R(X1, X2) = 0

Residual mean square/Standard error: s2 = 0.00087

R square: R2 = 0.958

Observations n = 12 Degree of freedom n = 9