Answer:
So then the we have perfect linear association. Because the heights and weights of the men are similar.
Explanation:
Let X represent the Height and Y the weigth
We have the follwoing dataset:
X: 70, 69
Y: 169, 164
n=2
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.
And in order to calculate the correlation coefficient we can use this formula:
For our case we have this:
n=2
And if we replace in the formula we got:
So then the we have perfect linear association. Because the heights and weights of the men are similar.