The correlation coefficient $r$ is $-0.498$, accurate to three decimal places.

The proportion of the variation in $y$ that can be explained by the variation in the values of $x$ (denoted $R^2$) is approximately $24.8\%$.

Do you have any further questions or would you like more details?

Here are five related questions to expand this topic:

1. How do we interpret a negative correlation coefficient?
2. What does an $R^2$ value of 24.8% indicate about the strength of the relationship?
3. How can we compute the slope and intercept of the regression line for this data?
4. What methods can we use to visually represent the relationship between $x$ and $y$?
5. How does the value of $R^2$ change if outliers are removed?

Tip: When interpreting $R^2$, remember that it represents the percentage of variation in the dependent variable explained by the independent variable.