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