4.4-13. Let X and Y be random variables of the continu- ous type having the joint pdf f(x, y) = 2, 0

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Chapter1: Combinatorial Analysis
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4.4-13 a only

r distributive operator. That is, show that
4.4-13. Let X and Y be random variables of the continu-
4.4-12. Sho
ation, E is a linear
4.4-
or
join
E[aju1(X, Y) + azu2(X, Y)]
= a¡E[u1(X, Y)] + ażE[u2(X, Y)].
(a)
%3D
(b)
(c
ous type having the joint pdf
f(x, y) = 2,
(d
0 <y<x<1.
%3D
Draw a graph that illustrates the domain of this pdf.
(a) Find the marginal pdfs of X and Y.
(b) Compute µ x, Hy, Oý, Oý, Cov(X, Y), and p.
(c) Determine the equation of the least squares regression
line and draw it on your graph. Does the line make
sense to you intuitively?
2. Cov(X, Y
4.4-14. Let X and Y be random variables of the continu-
ous type having the joint pdf
Transcribed Image Text:r distributive operator. That is, show that 4.4-13. Let X and Y be random variables of the continu- 4.4-12. Sho ation, E is a linear 4.4- or join E[aju1(X, Y) + azu2(X, Y)] = a¡E[u1(X, Y)] + ażE[u2(X, Y)]. (a) %3D (b) (c ous type having the joint pdf f(x, y) = 2, (d 0 <y<x<1. %3D Draw a graph that illustrates the domain of this pdf. (a) Find the marginal pdfs of X and Y. (b) Compute µ x, Hy, Oý, Oý, Cov(X, Y), and p. (c) Determine the equation of the least squares regression line and draw it on your graph. Does the line make sense to you intuitively? 2. Cov(X, Y 4.4-14. Let X and Y be random variables of the continu- ous type having the joint pdf
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