Question

use the past below to prove the correlation interval {-1, 1}. For any two variable X...

use the past below to prove the correlation interval {-1, 1}. For any two variable X and Y we have: Var(X+Y) = Var(X) + Var(Y) + 2Cov(X,Y)

Homework Answers

Answer #1

we have, to prove that, correlation interval {-1,1}.

for any two variable X and Y , we have,

Var( X+Y) = Var(X)+ Var(Y)+2Cov(X,Y)

ANSWER :-

This is a correlation coefficient,

...............(1)

We prove,

we defined another new random variable which is,

where is unknown.

then variance of new variable is,

where

Variance of Random Variable is always non negative.

we can write that,

..................(2)

by rearrenging terms,

..........(3)

this is bound of covariance values.then we can find the values of from eq.(3), then we diffentiating eq(3) w.r.t. ,

so we have,

put the value of in eq.(3),

Therefore put value of in eq(1)

For lower bound, We get

put in eq(2)

Hence prove,

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
given x,y are independent random variable. i.e PxY(X,Y)=PX(X).PY(Y). Prove that (1) E(XK.YL)=E(XK).E(YL). Where K,L are integer(1,2,3-----)...
given x,y are independent random variable. i.e PxY(X,Y)=PX(X).PY(Y). Prove that (1) E(XK.YL)=E(XK).E(YL). Where K,L are integer(1,2,3-----) (2) Var(x.y)= var(x).var(y).
When we say Prove or disprove the following statements, “Prove” means you show the statement is...
When we say Prove or disprove the following statements, “Prove” means you show the statement is true proving the correct statement using at most 3 lines or referring to a textbook theorem. “Disprove” means you show a statement is wrong by giving a counterexample why that is not true). Are the following statements true or not? Prove or disprove these one by one. Show how the random variable X looks in each case. (a) E[X] < 0 for some random...
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...
Prove the following using the specified technique: (a) Prove by contrapositive that for any two real...
Prove the following using the specified technique: (a) Prove by contrapositive that for any two real numbers,x and y,if x is rational and y is irrational then x+y is also irrational. (b) Prove by contradiction that for any positive two real numbers,x and y,if x·y≥100 then either x≥10 or y≥10. Please write nicely or type.
Prove the continuity of sin x or cos x on R, or simply on any interval...
Prove the continuity of sin x or cos x on R, or simply on any interval of length 2\pi.
A two dimensional variable (X, Y) is uniformly distributed over the square having the vertices (2,...
A two dimensional variable (X, Y) is uniformly distributed over the square having the vertices (2, 0), (0, 2), (-2, 0), and (0, -2). (i) Find the joint probability density function. (ii) Find associated marginal and conditional distributions. (iii) Find E(X), E(Y), Var(X), Var(Y). (iv) Find E(Y|X) and E(X|Y). (v) Calculate coefficient of correlation between X and Y.
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...
Part 1 For a set of two-variable data, the correlation r can be used to assess:...
Part 1 For a set of two-variable data, the correlation r can be used to assess: Group of answer choices both the direction and the stength. the strength only. the direction only. the form/shape only. Part 2 The correlation r has: Group of answer choices the same units as the response variable y. no units. the same units as x times y. the same units as the explanatory variable x. Part 3 The correlation between two variables will be closer...
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 0.1 90 90 0.5 30 40 0.4 50 70 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. Round your answers to one decimal place. x + y f(x + y) 180 70 120 c. Using the result of part (b), compute E(x...
Using the data given below, calculate the linear correlation between the two variables x and y....
Using the data given below, calculate the linear correlation between the two variables x and y. X 0 3 3 1 4 y 1 7 2 5 5 (a)        .794                 (b) .878            (c) .497            (d) .543 Refer to question 4. Assume you are using a 0.05 level of significance; is there a significant relationship between the two variables x and y? Yes                        (b) no The heights (in inches) and pulse rates (in beats per minutes) for a sample of 40...