The covariance between the two variables \( X \) (Chocolate Eaten) and \( Y \) (Nobel Prizes Won) is calculated as follows:
\[ \text{Cov}(X,Y) = 25.9073 \]
Next, we calculate the standard deviations of both variables:
\[ \sigma_X = 3.2021 \]
\[ \sigma_Y = 10.22 \]
The correlation coefficient \( r \) is computed using the formula:
\[ r = \frac{\text{Cov}(X,Y)}{\sigma_X \sigma_Y} \]
Substituting the values we have:
\[ r = \frac{25.9073}{3.2021 \times 10.22} = 0.7916 \]
The correlation coefficient is given by:
\[ \boxed{r = 0.7916} \]
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