CEVAP:

Of all the statistical techniques involving ranks, Spearman’s rank correlation coefficient is the earliest one and today it is well known among the scientists. Spearman’s rank correlation coefficient is a measure of association for ranked data. In addition, it can be used when the relation between two variables is not linear. Spearman’s rank correlation coefficient takes the values between –1 and +1. The coefficient close to +1 indicates positive association between the variables. On the other hand, negative values close to –1 denotes negative association. A value near 0 means there is no association between these two variables.