Variance

Var(Y) = 0.235

Var(X₁) = 0.187

Var(X₂) =0.059

Covariance

Cov(X₁, Y) = −0.093

Cov(X₂, Y) = −0.071

Cov(X₁, X₂) = −0.046

Coefficients of correlation

R(X₁, Y) = −0.443

R(X₂, Y) = −0.607

R(X₁, X₂) = −0.443

Residual mean square/Standard error: s² = 1.88 × 10⁻⁵

R square: R² = 0.999

Observations n = 12 and Degree of freedom n = 9