What do the results in the table below show?

\begin{array} { | l | l | l | l | } \hline & & { \text { Work produrtivity } } & { \begin{array} { c } \text { Time spent on } \\\text { Facebook }\end{array} } \\\hline \text { Work pradurtivity } & \text { Pearson's correlation } & 1.000 & - 94 \\\hline & \text { Sig. (2-tail) } & & .000 \\\hline & \text { N }&100&100\\\hline \begin{array} { l } \text { Time spent on } \\\text { Facebook }\end{array} & \text { Pearsan's correlation } & - 94 & 1.000 \\\hline & \text { Sig.(2-tail) } & .000 \\\hline & \text { N } & 100 & 100 \\\hline\end{array}

A)In a sample of 100 people, there was a strong negative relationship between work productivity and time spent on Facebook, r = -.94, p < .001.
B)In a sample of 100 people, there was a weak negative relationship between work productivity and time spent on Facebook, r = -.94, p < .001.
C)In a sample of 100 people, there was a non-significant negative relationship between work productivity and time spent on Facebook, r = -.94, p < .001.
D)In a sample of 100 people, there was a strong negative but non-significant relationship between work productivity and time spent on Facebook, r = -.94, p > .001.

If You Have a Curvilinear Relationship, Then

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