Joint density function negative variance for X and Y

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I'm doing this exercise: $$ f(x,y)= \begin{cases} 2x + 3y, & \text{0 ≤x ≤1, 0 ≤y ≤1} \\ 0, & \text{otherwise} \end{cases} $$ Find $Var(X), Var(Y), cov(X, Y), cor(X, Y)$

But when I try to calculate $Var(X), Var(Y)$ using the formula: $$Var(X) = E(X^2) - [E(X)]^2$$ my result is negative.

This is the result I have calculated:

$f(x) = 2x + \frac{3}{2} \\ f(y) = 3y + 1 \\ E(X) = \frac{17}{12}, E(Y) = \frac{3}{2}, \\ E(X^2) = 1, E(Y^2) = \frac{13}{12}, E(XY) = \frac{5}{6}, \\ Var(X) = \frac{-145}{144}, Var(Y) = \frac{-7}{6}$

Therefore I can't use the result to calculate $\sigma_X, \sigma_Y,...$

Could anyone tell me where is the problem here? What to do if the value of the variance is negative?

Thank you in advance for any help you can provide.

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Your work seems fine. So it looks like the function they gave you is not a density. W|A gives $$\int_0^1\int_0^1 f(x,y) dydx = \frac{5}{2}.$$

There might have been a typo or they meant to include a step where you solve for a normalizing constant. Here the constant would be $k = 2/5$. If you rework the problem with the factor $k$, you should get sensible values.