In: Statistics and Probability
Let's say that we have two variables X and Y. We calculate their correlation value to be r = -.8012. What is the interpretation of this value?
Solution:
Given:
The correlation coefficient between two variables X and Y is -0.8012
that is: r = -0.8012
We have to interprete this value.
Following are the interpretations are for correlation coefficient r :
1) If r = -1 , then there is perfect negative correlation
2) if -1 < r ≤
-0.80 , then there is Strong negative
correlation
3) if -0.80 < r ≤ -0.30, then there is moderate negative
correlation
4) if -0.30 < r < 0 , then there weak negative
correlation
5) if r = 0 , then there no or zero correlation
6) if 0 < r < 0.30 then there is weak positive
correlation
7) if 0.30 ≤ r < 0.80 , then there is moderate positive
correlation
8) if 0.80 ≤ r < 1 , then there is strong positive
correlation
9) if r = 1 , then there is perfect positive correlation
Since r = -0.8012 fall within the range -1 and -0.80
that is: -1 < r = -.0.8012 < -0.80,
thus there is Strong negative correlation between X and Y.