Consider the following joint density (with support shown in the graph): 3 f(y1, Y2) : 91, 41, 0< y1, 0< y2; Y1 + Y2 < 3, 0, else. 1 Find the marginal densities f1(y1) and f2(y2) and the conditional density f(yı|42). Calculate Cov(Yı, Y2). 0 1 2 3 1;

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**Consider the following joint density (with support shown in the graph):**

\[ f(y_1, y_2) = \begin{cases} 
\frac{2}{9} y_1, & 0 \leq y_1, \ 0 \leq y_2, \ y_1 + y_2 \leq 3, \\
0, & \text{else.} 
\end{cases} \]

Find the marginal densities \( f_1(y_1) \) and \( f_2(y_2) \) and the conditional density \( f(y_1|y_2) \). Calculate \(\text{Cov}(Y_1,Y_2)\).

**Graph Detail:**

The graph displays a triangle in the coordinate plane with vertices at (0,0), (3,0), and (0,3). This triangle represents the support of the joint density function, where both \( y_1 \) and \( y_2 \) are non-negative and their sum does not exceed 3.
Transcribed Image Text:**Consider the following joint density (with support shown in the graph):** \[ f(y_1, y_2) = \begin{cases} \frac{2}{9} y_1, & 0 \leq y_1, \ 0 \leq y_2, \ y_1 + y_2 \leq 3, \\ 0, & \text{else.} \end{cases} \] Find the marginal densities \( f_1(y_1) \) and \( f_2(y_2) \) and the conditional density \( f(y_1|y_2) \). Calculate \(\text{Cov}(Y_1,Y_2)\). **Graph Detail:** The graph displays a triangle in the coordinate plane with vertices at (0,0), (3,0), and (0,3). This triangle represents the support of the joint density function, where both \( y_1 \) and \( y_2 \) are non-negative and their sum does not exceed 3.
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