Comparing Spearman’s Rank Correlation and Least Squares Regression
Explain the conceptual differences between Spearman’s rank correlation coefficient and the least squares regression approach. Discuss when and why one might be preferred over the other in analyzing real-world data, particularly focusing on their sensitivity to outliers and treatment of non-linear relationships.
Assessing Association with Spearman’s Rank Correlation
Explain why Spearman’s rank correlation coefficient is often preferred over Pearson’s correlation coefficient when analyzing the relationship between two variables, particularly when dealing with ordinal data or data that does not follow a normal distribution.