Answer:
The Pearson product-moment correlation coefficient is

Explanation:
The Pearson product-moment correlation coefficient (PMCC) is a numerical value between -1 and 1 that expresses the strength of the linear relationship between two variables.When r is closer to 1 it indicates a strong positive relationship. A value of 0 indicates that there is no relationship. Values close to -1 signal a strong negative relationship between the two variables.
To find the PMCC of the following data, you must:

Step 1: Find
,
and
as it was done in the table below.
Step 2: Find the sum of every column to get

Step 3: Use the following formula to find the PMCC.
![\begin{aligned}r~&=~\frac{n\cdot\sum{XY} - \sum{X}\cdot\sum{Y}} {\sqrt{\left[n \sum{X^2}-\left(\sum{X}\right)^2\right] \cdot \left[n \sum{Y^2}-\left(\sum{Y}\right)^2\right]}} \\r~&=~\frac{ 5 \cdot 974.1 - 11.6 \cdot 400 } {√(\left[ 5 \cdot 30.1 - 11.6^2 \right] \cdot \left[ 5 \cdot 32730 - 400^2 \right] )} \approx 0.9556\end{aligned}](https://img.qammunity.org/2021/formulas/mathematics/college/i1xtm3y66biwfw9k9wr7yctnf1d8me4bxt.png)