When there is a perfect negative rank correlation between two variables, the value of the test $$\text { statistic } r _ { S } \text { in Spearman's test is } - 1 \text {. }$$

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In Spearman's rank correlation test, a perfect negative rank correlation between two variables results in a test statistic ($r_S$) value of -1, indicating a perfect inverse relationship.

When There Is a Perfect Negative Rank Correlation Between Two statistic rS in Spearman’s test is −1. \text { statistic } r _ { S } \text { in Spearman's test is } - 1 \text {. } statistic rS​ in Spearman’s test is −1.

When There Is a Perfect Negative Rank Correlation Between Two $\text { statistic } r _ { S } \text { in Spearman's test is } - 1 \text {. }$