Question

If a man is removed from the data set, the correlation decreases only slightly from 0.83 to 0.81. Why do you think the change in the correlation is so small?

Answer 1

So we always look for
`R^(2)` to find a correlation. 0.81 is known as, Large Positive Linear Association. There are many variables, in this case, this "man" is part of other variables. So by removing HIM, the correlation goes from 8 to 9. It is still significant. However, it can be because of many reasons. Perhaps he has diabetes or cancer and was removed. *Hypothetically

Explanation: