Let (X,Y) be random variables with covariance matrix (1 2 2 16 Suppose further that E(X|Y – y) – y/8, E{E(Y|X)} – 8 and E{V(Y|X)}– 12. (a) What is E(Y)? (b) Find V{E(Y|X)}. (c) Obtain E(XY). (d) Calculate the correlation matrix of X and Y.

Linear Algebra: A Modern Introduction
4th Edition
ISBN:9781285463247
Author:David Poole
Publisher:David Poole
Chapter3: Matrices
Section3.7: Applications
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Let (X,Y) be random variables with covariance matrix
(1 2
Σ
2 16
Suppose further that E(X|Y – y) – y/8, E{E(Y|X)} – 8 and
E{V(Y|X)} – 12.
(a) What is E(Y)?
(b) Find V{E(Y|X)}.
(c) Obtain E(XY).
(d) Calculate the correlation matrix of X and Y.
Transcribed Image Text:Let (X,Y) be random variables with covariance matrix (1 2 Σ 2 16 Suppose further that E(X|Y – y) – y/8, E{E(Y|X)} – 8 and E{V(Y|X)} – 12. (a) What is E(Y)? (b) Find V{E(Y|X)}. (c) Obtain E(XY). (d) Calculate the correlation matrix of X and Y.
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