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.
npx skills add majiayu000/claude-skill-registry --skill performing-regression-analysis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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-analyzer` for pre-model screening - `regression-analysis-helper` for lightweight inline support inside a larger ML workflow - `scientific-reporting` when the regression needs to
- Purpose
- When to Use
- Not For / Boundaries
- Typical Outputs
- Related Skills
What does the performing-regression-analysis skill do?
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.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill performing-regression-analysis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.