Answer:
[tex]r=\frac{9(5316)-(70)(740)}{\sqrt{[9(704) -(70)^2][9(62078) -(740)^2]}}=-0.9908[/tex]
Step-by-step explanation:
Previous concepts
The correlation coefficient is a "statistical measure that calculates the strength of the relationship between the relative movements of two variables". It's denoted by r and its always between -1 and 1.
Solution to the problem
In order to calculate the correlation coefficient we can begin doing the following table:
n x y xy x*x y*y
1 2 100 200 4 10000
2 5 88 440 25 7744
3 8 82 656 64 6724
4 6 84 504 36 7056
5 11 73 803 121 5329
6 4 94 376 16 8836
7 17 57 969 289 3249
8 10 78 780 100 6084
9 7 84 588 49 7056
And in order to calculate the correlation coefficient we can use this formula:
[tex]r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2 -(\sum x)^2][n\sum y^2 -(\sum y)^2]}}[/tex]
For our case we have this:
n=9 [tex] \sum x = 70, \sum y = 740, \sum xy = 5316, \sum x^2 =704, \sum y^2 =62078[/tex]
[tex]r=\frac{9(5316)-(70)(740)}{\sqrt{[9(704) -(70)^2][9(62078) -(740)^2]}}=-0.9908[/tex]