Correlation
Correlation describes the statistical relationship between two or more variables, quantifying the direction and strength of association. It is used for exploratory analysis, hypothesis generation and feature selection, but it does not establish causation and requires attention to sample size, outliers and non-linearity. Different measures (e.g., Pearson, Spearman) and visualizations help interpretation and communication.
This block bundles baseline information, context, and relations as a neutral reference in the model.
Definition · Framing · Trade-offs · Examples
What is this view?
This page provides a neutral starting point with core facts, structure context, and immediate relations—independent of learning or decision paths.
Baseline data
Context in the model
Structural placement
Where this block lives in the structure.
No structure path available.
Relations
Connected blocks
Directly linked content elements.