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
1 answer:
Answer:
So we always look for 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:
You might be interested in
Let, the total number of students in school that ride the bike to school be "x"
Now,
Using ratio and proportion, we get,
So, out of 800 students, 125 ride their bike to school.
Now,
Using ratio and proportion, we get,
So, out of 800 students, 125 ride their bike to school.