Variance

Var(Y) = 0.235

Var(X₁) = 0.059

Var(X₂) = 0.307

Covariance

Cov(X₁, Y) = −0.071

Cov(X₂, Y) = −0.194

Cov(X₁, X₂) = −0.013

Coefficients of correlation

R(X₁, Y) = −0.607

R(X₂, Y) = −0.722

R(X₁, X₂) = −0.101

Residual mean square/Standard error: s² = 0.0033

R square: R² = 0.989

Observations n = 12 and Degree of freedom n = 9