The correlation coefficient between variable A and B is found to be 1.1. This indicates: (AIIMS Nov 2011)
|A||Very strong correlation|
|B||Moderately strong correlation|
Ref: High Yield Biostatistics, Pg: 47-48
CO-EFFICIENT OF CORRELATION
Correlation is a symmetrical measure of the strength of the association between the two factors, while regression describes how one factor depends on the other.
Correlation gives us a measure of how closely the 2 variables are associated, how close they are to the unlikely event of their lying on a straight line.
If one increases as the other increases, the correlation is positive.
Co-efficient of correlation is always between –1 and +1. Hence a value of CC > +1 or < -1 simply denotes computational mistake.
When zero, it indicates no correlation.
When -1 it indicates negative correlation, when +1 it indicates positive correlation.
Negative correlation is if one increase, other decrease and vice versa.