Individual skill
Correlation Analysis
Measure relationships between variables using correlation coefficients, correlation matrices, and association tests for correlation measurement, relationship analysis, and multicollinearity detection
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# Correlation Analysis
## Overview
Correlation analysis measures the strength and direction of relationships between variables, helping identify which features are related and detect multicollinearity.
## When to Use
- Identifying relationships between numerical variables
- Detecting multicollinearity before regression modeling
- Exploratory data analysis to understand feature dependencies
- Feature selection and dimensionality reduction
- Validating assumptions about variable relationships
- Comparing linear and non-linear associations