1. Independence of \( X \) and \( Y \):
- Since \( \Theta \sim U(0, 2\pi) \), the random variables \( \cos\Theta \) and \( \sin\Theta \) are uncorrelated, as:
\[
E(\cos\Theta \cdot \sin\Theta) = 0.
\]
- Additionally, the joint distribution of \( X \) and \( Y \) is symmetric over the unit circle, leading to zero covariance:
\[
\text{Cov}(X, Y) = E(XY) - E(X)E(Y) = 0.
\]
2. Correlation Coefficient:
- The correlation coefficient \( \rho \) is defined as:
\[
\rho = \frac{\text{Cov}(X, Y)}{\sqrt{\text{Var}(X) \cdot \text{Var}(Y)}}.
\]
- Since \( \text{Cov}(X, Y) = 0 \), it follows that:
\[
\rho = 0.
\]
3. Value of \( 100\rho \):
- Multiply \( \rho \) by 100:
\[
100\rho = 100 \cdot 0 = 0.
\]