Variance

Var(Y) = 0.082

Var(X₁) = 0.164

Var(X₂) = 0.059

Covariance

Cov(X₁, Y) = 0.0055

Cov(X₂, Y) = −0.038

Cov(X₁, X₂) = 0.079

Coefficients of correlation

R(X₁, Y) = −0.443

R(X₂, Y) = −0.607

R(X₁, X₂) = −0.443

Residual mean square/Standard error: s² = 2.74 × 10⁻³²

R square: R² = 1.00

Observations n = 12 and Degree of freedom n = 9