Question

E[X] = 2, E[X^2] = 8, E[Y] = 8, E[Y^2] = 100, and Var(X +Y) =...

E[X] = 2, E[X^2] = 8, E[Y] = 8, E[Y^2] = 100, and Var(X +Y) = 60. What is ρ(X, Y ), the correlation of X and Y

Homework Answers

Answer #1

We are given that:

Now, the variance of X and that of Y is given by:

Now, consider the identity:

Thus, the correlation of X and Y is given by:

For any queries, feel free to comment and ask.

If the solution was helpful to you, don't forget to upvote it by clicking on the 'thumbs up' button.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
If X, Y are random variables with E(X) = 2, Var(X) = 3, E(Y) = 1,...
If X, Y are random variables with E(X) = 2, Var(X) = 3, E(Y) = 1, Var(Y) =2, ρX,Y = −0.5 (a) For Z = 3X − 1 find µZ, σZ. (b) For T = 2X + Y find µT , σT (c) U = X^3 find approximate values of µU , σU
Suppose X and Y are independent variables with E(X) = E(Y ) = θ, Var(X) =...
Suppose X and Y are independent variables with E(X) = E(Y ) = θ, Var(X) = 2 and Var(Y ) = 4. The two estimators for θ, W1 = 1/2 X + 1/2 Y and W2 = 3/4 X + 1/4 Y . (1) Are W1 and W2 unbiased? (2) Which estimator is more efficient (smaller variance)?
(d) E(Y|X) and Var(Y|X).
(d) E(Y|X) and Var(Y|X).
Consider two random variables X and Y such that E(X)=E(Y)=120, Var(X)=14, Var(Y)=11, Cov(X,Y)=0. Compute an upper...
Consider two random variables X and Y such that E(X)=E(Y)=120, Var(X)=14, Var(Y)=11, Cov(X,Y)=0. Compute an upper bound to P(|X−Y|>16)
1) Suppose that X and Y are two random variables, which may be dependent and Var(X)=Var(Y)....
1) Suppose that X and Y are two random variables, which may be dependent and Var(X)=Var(Y). Assume that 0<Var(X+Y)<∞ and 0<Var(X-Y)<∞. Which of the following statements are NOT true? (There may be more than one correct answer) a. E(XY) = E(X)E(Y) b. E(X/Y) = E(X)/E(Y) c. (X+Y) and (X-Y) are correlated d. (X+Y) and (X-Y) are not correlated. 2) S.D(X ± Y) is equal to, where S.D means standard deviation a. S.D(X) ± S.D(Y) b. Var(X) ± Var(Y) c. Square...
Given below is a bivariate distribution for the random variables x and y. f(x, y) x...
Given below is a bivariate distribution for the random variables x and y. f(x, y) x y 0.5 50 80 0.2 30 50 0.3 40 60 (a) Compute the expected value and the variance for x and y. E(x) = E(y) = Var(x) = Var(y) = (b) Develop a probability distribution for x + y. x + y f(x + y) 130 80 100 (c) Using the result of part (b), compute E(x + y) and Var(x + y). E(x...
Given below is a bivariate distribution for the random variables x and y f(x,y) x y...
Given below is a bivariate distribution for the random variables x and y f(x,y) x y 0.3 80 70 0.4 30 50 0.3 50 60 a. Compute the expected value and the variance for x and y E(x)= E(y)= Var(x)= Var(y)= b. Develop a probability distribution for x+y x+y f(x+y) 150 80 110 c. Using the result of part (b), compute E(x+y) and Var(x+y) . E(x+y) Var(x+y) d. Compute the covariance and correlation for x and y. If required, round...
Let X and Y denote be as follows: E(X) = 10, E(X2) = 125, E(Y) =...
Let X and Y denote be as follows: E(X) = 10, E(X2) = 125, E(Y) = 20, Var(Y) =100 , and Var(X+Y) = 155. Let W = 2X-Y and let T = 4Y-3X. Find the covariance of W and T.
Given that Var(X) = 5 and Var(Y) = 3, and Z is defined as Z =...
Given that Var(X) = 5 and Var(Y) = 3, and Z is defined as Z = -2X + 4Y - 3. (a) Find the variance of Z if X and Y are independent. (b) If Cov (X,Y) = 1, find the variance of Z. (c) If Cov (X,Y) = 1, compute the correlation of X and Y.
Problems 9 and 10 refer to the discrete random variables X and Y whose joint distribution...
Problems 9 and 10 refer to the discrete random variables X and Y whose joint distribution is given in the following table. Y=-1 Y=0 Y=1 X=1 1/4 1/8 0    X=2 1/16 1/16 1/8 X=3 1/16 1/16 1/4 P9: Compute the marginal distributions of X and Y, and use these to compute E(X), E(Y), Var(X), and Var(Y). P10: Compute Cov(X, Y) and the correlation ρ for the random variables X and Y. Are X and Y independent?
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT