Answer:
Step 1: Figure attached
Step 2: Positive correlation
Step 3: r=0.9534
Step-by-step explanation:
Step 1
For this step we can use excel
We click on Insert> Insert Scatterpplot(X,Y) or Bubblechart. We select the data and then we select the Layout 9. Then we can edit the title and the names for the x and y axis.
The result obtained is on the Figure attached.
Step 2
As we can see on the plot obtained the slope obtained is positive since is increasing, so with this result we can conclude that the correlation would be positive and possible strong. We need to compute it in order to be sure of this.
Step 3
In order to calculate the correlation coefficient we can begin doing the following table:
n x y xy x*x y*y
1 23 10 230 529 100
2 29 14 406 841 196
3 32 15 480 1024 225
4 38 16 608 1444 256
5 41 17 697 1681 289
[tex] n =5 \sum x \sum y \sum xy \sum x^2 \sum y^2[/tex]
n=5 [tex] \sum x = 163, \sum y = 72, \sum xy 2421, \sum x^2 =5519, \sum y^2 =1066[/tex]
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]
[tex]r=\frac{5(2421)-(163)(72)}{\sqrt{[5(5519) -(163)^2][5(1066) -(72)^2]}}=0.9534[/tex]
So then the correlation coefficient would be r =0.9534