Use a scatterplot and the linear correlation coefficient $r$ to determine whether there is a correlation between the two variables. (Note: Use software, and don't forget to look at the scatterplot!)
$$\begin{array}{c|ccccccccccccccc} x & 0.5 & 1.1 & 2.7 & 3.8 & 4.5 & 5.2 & 6.7 & 7.4 & 8.5 & 9.4 & 10.7 & 11.7 & 12.5 & 13.2 & 14.5\cr y & 0.5 & 1.1 & 2.7 & 3.8 & 4.5 & 5.2 & 6.7 & 7.4 & 8.5 & 9.4 & 10.7 & 11.7 & 12.5 & 13.2 & 14.5\cr \end{array}$$

(a) $r=$

(b) There is
A. no correlation between $x$ and $y$
B. a positive correlation between $x$ and $y$
C. a nonlinear correlation between $x$ and $y$
D. a perfect positive correlation between $x$ and $y$
E. a perfect negative correlation between $x$ and $y$
F. a negative correlation between $x$ and $y$