a) Cov(Y1,Y2) =E(Y1*Y2)-E(Y1)*E(Y2)=30-4*6.5=4
b)
as we know that Cov(aX+b,CY+d) =ac*Cov(X,Y)
hence Cov(4Y1,3Y2) =4*3*Cov(Y1,Y2) =12*4=48
c)Cov(4Y1,5-Y2)=4*(-1)*Cov(Y1,Y2)=-4*4=-16
d)
Cov(1+3Y1,3-2Y2) =3*(-2)*Cov(Y1,Y2) =-6*4=-24
Var(1+3Y1) =32*Var(Y1)=9*19
Var(3-2Y2)=(-2)2*Var(Y2)=4*5.25
hence Correlation coefficient =Cov(1+3Y1,3-2Y2)/sqrt(Var(1+3Y1)*Var(3-2Y2))
=-24/sqrt(9*19*4*5.25)=-0.400501
2. Suppose the variables Yi and Y have the following properties EQİ)-4, Var(h)-19, E(Y )-6.5, Var(Ya)-5.25,...
2. Suppose the variables Y1 and Y2 have the following
properties:
2. Suppose the variables Yi and Y2 have the following properties: E(%) = 4, Var(%) = 19,E(%) = 6.5, Var(%) = 5.25,E(,%) = 30 Calculate the following; please show the underlying work: a) (3 pts) Cov(Y,Y2) b) (3 pts) Cov(4Y1,3Y2) c) (3 pts) Cov(4h, 5-½) d) (6 pts) Find the correlation coefficient between 1 + 3, and 3-2%
1. Suppose we have three random variables Y1 , Y2 , and Y3 .
Suppose we have three random variables Y, Y,, and Y,. The standard deviations of Y and Y, are both 3 and the standard deviation of Y is 2. The correlation coefficient between Y and Y, is-0.6. The covariance between Y and Y, is 0.5. Y is independent of Y 1. 1 2 a) (3 pts) Find Var(h + 3%) b) (3 pts) Find Cov(3h + 2⅓'5½-%)
4. Suppose Yi Y, are id randonn variables with E(Y )-μ, Var(Y)= σ2 < o For large n, find the approximaate distribution of YBeure to name any theorems you used.
4. Suppose Yi, Yn are iid randonn variables with E(X) = μ, Var(y)-σ2 < oo. For large n, find the approximate distribution of p = n Σηι Yi, Be sure to name any theorems you used.
6 Suppose that X and Y are random variables such that Var(X) Var(Y)-2 and Cov(x,y)- 1. Find the value of Var(3.X-Y+2)
5.26 Suppose that y is N, (μ, 2), where μ LJ and -σ2ρ for all Thus E(yi-μ for all i, var(yi) 0" for all i, and cov(yoy ij; that is, the y's are equicorrelated. (a) Show that Σ can be written in the form Σ-σ2(I-P)1+a (b) Show that Σ-i(vi-y?/(r2(1-p] is X2(n-1)
5.26 Suppose that y is N, (μ, 2), where μ LJ and -σ2ρ for all Thus E(yi-μ for all i, var(yi) 0" for all i, and cov(yoy ij; that...
6 Suppose that X and Y are random variables such that Var(X)-Var(Y)-2 and Cov(x,y)- 1. Find the value of Var(3.X-Y + 2)
Let X, Y, Z be random variables with these properties: · E[X] = 3 and E[X²] = 10 Var(Y) = 5 E[Z] = 2 and E[Z2] = 7 • X and Y are independent E[X2] = 5 Cov(Y,Z) = 2 Find Var(3X+Y – Z).
2. Properties of Correlation and Covariance: Two random variables Y and Z are represented by the following relationships Y = 0.5+0.6X Z = 0.2+0.3x where X is another random variable. You can treat the variance, Var(X), as a given constant. It may help to give Var(X) a name, ie. Var(x)ox2 a. Calcuate var(Y) and Var(Z) as a function of Var(X). Which is hrger? b. Calcuate Cov(Y,Z), Cov(X,Z) and Cov(X,Y) as a function of var(X). c. Calcuate Corr(Y,Z), Corr(X,Z) and Corn(X,Y)...
Let X and Y be random variables with the follow E(Y) μ,--2 Var(x) o, 0.3 Var(Y)-σ,-0.5 Cov(XY) o,,-0.03 Find the following: ESX-3 Y)