Agent skill
performing-regression-analysis
Build and diagnose regression models when the main question is regression itself. Use for model specification, coefficient interpretation, residual checks, and fit diagnostics; not for causal identification, generic feature screening, or report packaging.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/performing-regression-analysis
SKILL.md
Regression Analysis Tool
Purpose
Use this skill when regression is the task owner, not just one small step inside a bigger workflow.
When to Use
Use this skill when:
- Fitting and diagnosing a regression model on a given dataset
- Predicting future values from existing data with regression models
- Interpreting relationships between independent and dependent variables through model coefficients
- Evaluating regression-model residuals, assumptions, and fit quality
Not For / Boundaries
- Causal identification or policy-effect claims: use
performing-causal-analysis - Pairwise screening before modeling: use
correlation-analyzer - Inline regression help inside a broader ML workflow: use
regression-analysis-helper - Final deliverable writing and packaging: use
scientific-reporting
Typical Outputs
- Model specification options and assumptions checklist
- Coefficient, residual, and fit interpretation notes
- Next-step recommendations for validation or reporting
Related Skills
correlation-analyzerfor pre-model screeningregression-analysis-helperfor lightweight inline support inside a larger ML workflowscientific-reportingwhen the regression needs to become a deliverable report
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