Correlation analysis including scatter diagrams, Pearson’s correlation coefficient, Spearman’s rank correlation, multiple correlation, and probable error with applications.
Correlation Analysis: Karl Pearson, Spearman Rank Correlation Complete Guide
These notes cover detailed exploration of correlation analysis including positive/negative, simple/multiple/partial, and linear/non-linear correlations. Covers scatter diagram interpretation, Karl Pearson’s coefficient calculation methods, and Spearman’s rank correlation techniques. Includes probable error analysis, correlation significance testing, and practical business applications with comprehensive mathematical illustrations and real-world examples.