What is the difference between correlation analysis and sensitivity analysis?

Correlation analysis assesses the strength and direction of the relationship between two or more variables, helping to identify patterns or associations. In contrast, sensitivity analysis examines how the variability in the output of a model or system can be attributed to changes in its input parameters, determining which factors have the most influence on outcomes. While correlation focuses on relationships, sensitivity analysis emphasizes the impact of changes in specific inputs.