To calculate Spearman's rank correlation coefficient, follow these steps:
1. Ranking the Data: Convert the raw data into ranks. If there are tied values, assign to each tied value the average of the ranks that they would have received if they had not been tied. 2. Calculating the Differences: Compute the difference between the ranks of each pair of data points. 3. Squaring the Differences: Square these differences to eliminate negative values. 4. Applying the Formula: Use the formula: \[ Ï = 1 - \frac{6 \sum d_i^2}{n(n^2 - 1)} \] where \(d_i\) is the difference between the ranks of each observation and \(n\) is the number of observations.
