Here the relationship between x and y isn't just "correlated," in the colloquial sense, it is totally deterministic! That is, if Y tends to increase as X increases, the Spearman correlation coefficient is positive.
A correlation of -1 indicates that the data points in a scatter plot lie exactly on a straight descending line; the two variables are perfectly negatively linearly related.
Non-parametric tests of rank correlation coefficients summarize non-linear relationships between variables.
However, keep in mind that Pearson correlation is only capable of detecting linear associations, so it is possible to have a pair of variables with a strong nonlinear relationship and a small Pearson correlation coefficient.
Output Tables The results will display the correlations in a table, labeled Correlations.
Comparing studies A correlation coefficient is also an measure, which tells you the practical significance of a result.