the interpretation of the spearman correlation coefficient is identical to that for the
Spearman's rank correlation coefficient The Spearman correlation between two variables is equal to the Pearson correlation between the rank values of those two variables; while Pearson's correlation assesses linear relationships, Spearman's correlation assesses monotonic relationships (whether linear or not). If there are no repeated data values, a perfect Spearman correlation of +1 or âˆ’1 occurs when each of the variables is a perfect monotone function of the other.
Spurious relationship In statistics, a spurious relationship or spurious correlation[1][2] is a mathematical relationship in which two or more events or variables are not causally related to each other, yet it may be wrongly inferred that they are, due to either coincidence or the presence of a certain third, unseen factor (referred to as a "common response variable", "confounding factor", or "lurking variable").