![]() ![]() If it is negative, then as one variable increases, the other tends to decrease. If it is positive, then as one variable increases, the other tends to increase. The sign of ρ corresponds to the direction of the relationship. The further away ρ is from zero, the stronger the relationship between the two variables. So ρ will always be a value between -1 and 1. Spearman’s correlation is equivalent to calculating the Pearson correlation coefficient on the ranked data. The ranks of these values are in the following table: Kitten For example, consider the lengths and weights of a sample of five kittens: Kitten The most common of these is the Spearman rank correlation coefficient, ρ, which considers the ranks of the values for the two variables. ![]() If you have two numeric variables that are not linearly related, or if one or both of your variables are ordinal variables, you can still measure the strength and direction of their relationship using a non-parametric correlation statistic. ![]()
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