Random variables and co-variance, Statistics 318

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For the given example in the book

John E. Freund's Mathematical Statistics with Applications, 8th edition, by Miller and Miller. ISBN: 9780321807090

I've highlighted using colors what numbers corespond with what is given (Blue, Green, and Yellow).

What I don't understand is where the highlighted red numbers come from.

Example 19

The example states it uses "Theorem 15" I'm just confused on how.

"The following is another important theorem about linear combinations of random variables; it concerns the covariance of two linear combinations of n random variables." Theorem 15

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Hint: Define $X_{1}=X$, $X_{2}=Y$, and $X_{3}=Z$. Also define $a_{1}=1$, $a_{2}=4$, $a_{3}=2$, $b_{1}=3$, $b_{2}=-1$, and $b_{3}=-1$. Then, $$ \text{cov}(X+4Y+2Z,3X-Y-Z) =\text{cov}(\underbrace{a_{1}X_{1}+a_{2}X_{2}+a_{3}X_{3}}_{Y_1},\underbrace{b_{1}X_{1}+b_{2}X_{2}+b_{3}X_{3}}_{Y_2}). $$ The above now looks like the expression in Theorem 15. Can you finish?