3. Let X = (X1,..., Xm)', m > 2, be random vector with covariance matrix s-[] O 12 Σ O21 222 The multivariate correlation coefficient between X1 and X2, .., Xm, denoted R1.2.m; the maximum correlation between X1 and any linear function W2X2+ (i) Show that + Wm Xm. ... 1/2 (ii) Suppose that random vector X has multivariate normal distribution. Show that R1.2,.m is equal to the correlation between X1 and E[X1|X2, ..., Xm].

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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3. Let X = (X1,..., Xm)', m > 2, be random vector with covariance matrix
Σ
Ở11
O 12
O 21 222
The multivariate correlation coefficient between X1 and X2, ..., Xm, denoted R1-2.m;
the maximum correlation between X1 and any linear function W2X2 + ... + Wm Xm.
(i) Show that
ן1 ך
21
-1
O 1222
R1-2,.m
σ1
(ii) Suppose that random vector X has multivariate normal distribution. Show that
R1.2.m is equal to the correlation between X1 and E[X1|X2,.., Xm].
Transcribed Image Text:3. Let X = (X1,..., Xm)', m > 2, be random vector with covariance matrix Σ Ở11 O 12 O 21 222 The multivariate correlation coefficient between X1 and X2, ..., Xm, denoted R1-2.m; the maximum correlation between X1 and any linear function W2X2 + ... + Wm Xm. (i) Show that ן1 ך 21 -1 O 1222 R1-2,.m σ1 (ii) Suppose that random vector X has multivariate normal distribution. Show that R1.2.m is equal to the correlation between X1 and E[X1|X2,.., Xm].
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