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Rank Correlation Coefficient
Also identified as the spearman rank correlation coefficient, its reasons is to establish whether there is any form of association among two variables where the variables arranged in a ranked form.
R = 1 - {(6∑d2)/(n(n2 -1))}
Whereas d = difference among the pairs of ranked values.
n = numbers of pairs of rankings.
calculate
Spurious Correlations - in several rare situations when plotting the data for x and y we may have a group indicating either positive correlation or negative (-ve) correlation
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what are these all about and could i have some examples of them please
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