Individual skill
regression-modeler
Run regression analysis (OLS or logistic) on uploaded CSV/Excel data, generating coefficients, R², p-values, VIF, and plain-language interpretation. Triggered by requests for regression modeling, fitting data, testing significance, checking multicollinearity, or keywords like OLS, logit, coefficient, p-value, or R-squared.
skills/regression-modeler/SKILL.md
Source commit 3ae17b2c765ed8534ba9c6f848563db127fc4ca6
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- Network or broad shell
- Last checked
- Nov 7, 2026
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- Repository stars (not skill ratings)
- 4,700
- Repository last updated
- Nov 7, 2026
- License
- MIT
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- ai Repository topic
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- data Derived category
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# regression-modeler
Automated regression modeling tool — performs linear regression (OLS) or logistic regression (Logit) on tabular data, producing comprehensive statistical results with plain-language interpretation.
## Capabilities
| Feature | Description |
|---------|-------------|
| Linear Regression | OLS with coefficients, R², adjusted R², F-test, AIC/BIC, Durbin-Watson |
| Logistic Regression | Logit with coefficients, Odds Ratio, Pseudo R², likelihood ratio test |
| Multicollinearity Detection | VIF values for each predictor with warning levels |
| Plain-Language Interpretation | Clear explanations of what each metric and coefficient means |
| Auto Detection | Automatically switches to logistic regression when the target is binary (0/1) |
