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vagabundo [1.1K]
3 years ago
5

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?
Mathematics
1 answer:
Gnesinka [82]3 years ago
3 0

Answer:

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

Step-by-step explanation:

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