Conditional Expectation of Function of I.I.D Random Variables

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Let X,Y,Z $\stackrel{i.i.d}{\sim}$ N($0$,$1$). I am supposed to find the E($2$X+$3$Y | X+$3$Y-Z =$4$)

I Tried to solve the problem by considering A= $2X+3Y$ ~ $N(5,5)$ and B=X+$3$Y-Z ~ $N(3,5)$ but I was confused when I was trying to find the joint pdf of A and B.

Kindly help as this is my first time in solving such type of problems.

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there are some errors:

$$A=2X+3Y\sim N(0;13)$$

$$B=X+3Y-Z\sim N(0;11)$$

Now you can derive how $A$ and $B$ are correlated and using the properties of jointly bivariate Gaussian you shoudl solve your problem finding

$$\mathbb{E}[A|B=4]=4$$


Furhter details:

To calculate $E(AB)$ simply use the definition

$$\mathbb{E}[(2X+3Y)(X+3Y-Z)]=\mathbb{E}[\text{expand}]=\dots=11$$