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Correlation coefficient
- These are numerical measures of the correlations existing between the independent and the dependent variables
- These are better measures of correlation than scatter diagrams or graphs
- The range for correlation coefficients lies between negative (-ve) 1 and positive (+ve) 1. A correlation coefficient of positive (+1) show that there is perfect positive correlation. A value of negative (-ve) implies that there is perfect negative correlation. A value of 0 implies no correlation at all
- Given chart will be found useful in interpreting correlation coefficients
There are generally two types of correlation coefficients normally used that is:
Binomial Mathematical Properties 1. The expected or mean value = n × p = np Whereas; n = Sample Size p = Probability of success 2. The variance = npq Whereas; q =
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