coefficient of correlation for Y₁ and Y₂. r answer to part (b) lead you to doubt your answer to part (a)? Why or why not? though Cov(Y₁ Y₂) * 0, Y₁ and Y₂ are not necessarily dependent. ce Cov(Y₁ Y₂) # 0, we should expect Y₁ and Y₂ to be dependent. e Cov(Y₁Y₂) = 0, we should expect Y₁ and Y₂ to be independent. mthough Cov(Y₁ Y₂) = 0, Y₁ and Y₂ are not necessarily independent.

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter7: Analytic Trigonometry
Section7.6: The Inverse Trigonometric Functions
Problem 94E
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Suppose that Y₁ and Y₂ are uniformly distributed over the triangle shaded in the accompanying figure.
3₂
(0, 1)
(-1,0)
(a) Find Cov(Y₁ Y₂).
Cov(Y₁, Y₂)
=
(b) Are Y₁ and Y₂ independent?
Yes
O No
(1, 0)
(c) Find the coefficient of correlation for Y₁ and Y₂.
P=
y/₁
(d) Does your answer to part (b) lead you to doubt your answer to part (a)? Why or why not?
O Even though Cov(Y₁Y₂) # 0, Y₁ and Y₂ are not necessarily dependent.
Since Cov(Y₁ Y₂) # 0, we should expect Y₁ and Y₂ to be dependent.
O Since Cov(Y₁, Y₂) = 0, we should expect Y₁ and Y₂ to be independent.
O Even though Cov(Y₁Y₂) = 0, Y₁ and Y₂ are not necessarily independent.
Transcribed Image Text:Suppose that Y₁ and Y₂ are uniformly distributed over the triangle shaded in the accompanying figure. 3₂ (0, 1) (-1,0) (a) Find Cov(Y₁ Y₂). Cov(Y₁, Y₂) = (b) Are Y₁ and Y₂ independent? Yes O No (1, 0) (c) Find the coefficient of correlation for Y₁ and Y₂. P= y/₁ (d) Does your answer to part (b) lead you to doubt your answer to part (a)? Why or why not? O Even though Cov(Y₁Y₂) # 0, Y₁ and Y₂ are not necessarily dependent. Since Cov(Y₁ Y₂) # 0, we should expect Y₁ and Y₂ to be dependent. O Since Cov(Y₁, Y₂) = 0, we should expect Y₁ and Y₂ to be independent. O Even though Cov(Y₁Y₂) = 0, Y₁ and Y₂ are not necessarily independent.
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