Spearman's Rank Correlation

Spearman's rank correlation is a measure of the monotonic relationship between two continuous or ordinal variables. It has a value between +1 and −1, where +1 or −1 occurs when each of the variables is a perfect monotone function of the other, and 0 means no monotonic correlation.

Statistiku can generate a correlation matrix (table), which contains the value of Spearman's rank correlation coefficient and its significance level. You can also visualize every pair of variables in the form of scatter plot to see their relation.

Form

• Variablesnum

  Select at least two numerical variables you want to see their correlation.

• Test of Significance

  Choose whether you want to use one-tailed or two-tailed significance test.

• Additional Output

  Choose whether you want to display the scatter plot for each pair of variables or not.

Example

You can use Caschool dataset (The California Test Score Data Set) to measure the correlation between numerical variables, like percent qualifying for CalWorks (calwpct), average test score (testscr), expenditure per student (expnstu), student teacher ratio (str), etc.

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