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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:
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a, b,c are in h.p prove that a/b+c-a, b/a+c-b, c/a+b-c are in h.p To prove: (b+c-a)/a; (a+c-b)/b; (a+b-c)/c are in A.P or (b+c)/a; (a+c)/b; (a+b)/c are in A.P or 1/a; 1
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