regression-modeling
From the author
Modeling relationships between variables using regression. Covers simple linear regression, multiple regression, polynomial regression, logistic regression, model fitting (least squares, maximum likelihood), residual analysis, model diagnostics, R-squared, adjusted R-squared, multicollinearity, variable selection, and the Box-Jenkins dictum that all models are wrong but some are useful. Use when predicting outcomes, quantifying relationships, building predictive models, or diagnosing model fit.
Install
npx skills add Tibsfox/gsd-skill-creator --skill regression-modeling -a claude-code
Installs to .claude/skills/regression-modeling/ · Each command fetches the skill straight from GitHub with the open skills CLI.
No download: this skill’s licence (Custom or unclear) does not let us redistribute its files. The install commands fetch them from GitHub instead.
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