The correlation coefficient between the given $x$ and $y$ values is approximately $-0.986$, rounded to three decimal places. This indicates a strong negative linear relationship between the two variables.

Would you like further explanation on correlation, or have any other questions?

Here are some related questions:

1. What does a correlation coefficient of $-0.986$ signify in practical terms?
2. How is the correlation coefficient calculated step by step?
3. Can we predict future $y$-values using this correlation coefficient?
4. What is the difference between correlation and causation?
5. How can outliers affect the correlation coefficient?

Tip: A strong negative correlation means that as one variable increases, the other decreases at nearly the same rate, but it doesn't imply causality.