performing-regression-analysis

name	performing-regression-analysis
description	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.
allowed-tools	Read, Write, Edit, Grep, Glob, Bash(cmd:*)
version	1.0.0
author	Jeremy Longshore <[e-mail]>
license	MIT

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 become a deliverable report