Independent solution

How to solve this Covariance question

Setup

Setup

Recover each variance by subtracting the square of the corresponding mean from its second raw moment.

Var(X)=27.452=2.4\operatorname{Var}(X)=27.4-5^2=2.4
Var(Y)=51.472=2.4\operatorname{Var}(Y)=51.4-7^2=2.4

Model

Model

Use the known variance of the original sum to solve for the covariance between the two components.

8=2.4+2.4+2Cov(X,Y)8=2.4+2.4+2\operatorname{Cov}(X,Y)
Cov(X,Y)=1.6\operatorname{Cov}(X,Y)=1.6

Compute

Compute

Expand the requested covariance bilinearly. Substituting the two variances and recovered covariance gives 8.8.

Cov(X+Y,X+1.2Y)=2.4+1.2(2.4)+2.2(1.6)=8.8\operatorname{Cov}(X+Y,X+1.2Y)=2.4+1.2(2.4)+2.2(1.6)=8.8

Answer

Answer

The requested covariance is 8.80, selecting choice A.

8.80(A)\boxed{8.80\quad\text{(A)}}