Answer:
The Pearson product-moment correlation coefficient is [tex]r = 0.9556[/tex]
Step-by-step 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:
[tex]\begin{array}{c|ccccc}X&3.2&3&1&2.5&1.9\\Y&90&88&57&86&79\end{array}[/tex]
Step 1: Find [tex]X\cdot Y[/tex], [tex]X\cdot X[/tex] and [tex]Y\cdot Y[/tex] as it was done in the table below.
Step 2: Find the sum of every column to get
[tex]\sum{X}=11.6 ~,~ \sum{Y}=400 ~,~ \sum{X \cdot Y}=974.1 ~,~ \sum{X^2}=30.1 ~,~ \sum{Y^2}=32730[/tex]
Step 3: Use the following formula to find the PMCC.
[tex]\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 } {\sqrt{\left[ 5 \cdot 30.1 - 11.6^2 \right] \cdot \left[ 5 \cdot 32730 - 400^2 \right] }} \approx 0.9556\end{aligned}[/tex]
