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Q58Section B (Part B)58 of 120

Multivariate analysis — a multiple correlation coefficient

Let X=(X1,X2,X3)TX=(X_1,X_2,X_3)^{T} be a 3×13\times1 random vector with E(X)=(3,2,1)TE(X)=(3,2,1)^{T} and

Cov⁡(X)=Σ=(3−20 −23−2 0−23).\operatorname{Cov}(X)=\Sigma=\begin{pmatrix}3 & -2 & 0\ -2 & 3 & -2\ 0 & -2 & 3\end{pmatrix}.

Suppose that Y=(Y1,Y2,Y3)T=13XY=(Y_1,Y_2,Y_3)^{T}=\frac{1}{\sqrt3}X. Then the value of the multiple correlation coefficient between Y1Y_1 and (Y2,Y3)(Y_2,Y_3) equals

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