The correlation coefficient is calculated using the formula:

$\text{Corr}(R_x, R_y) = \frac{\text{Cov}(R_x, R_y)}{\sigma(R_x)\sigma(R_y)}$

First, we need to find the standard deviations from the variances:

• $\sigma(R_x) = \sqrt{0.69} = 0.8306$
• $\sigma(R_y) = \sqrt{0.36} = 0.6$

Now plug into the correlation formula:

$\text{Corr}(R_x, R_y) = \frac{0.093}{0.8306 \times 0.6} = \frac{0.093}{0.49836} = 0.1865$

Therefore, the correlation coefficient is 0.1865, which corresponds to option B.