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 Correlation Types - Pearson : Linear correlation (continuous var…