How does it measure the accuracy of a regression model?

It provides comprehensive performance metrics such as R-squared (coefficient of determination) and RMSE (Root Mean Square Error) to validate the model's reliability.

Can this skill help me predict future values?

Yes, once a model is generated and validated, you can use the skill to predict dependent variables based on new or hypothetical input data.

What types of regression models does this skill support?

The skill supports multiple regression types, including linear and polynomial models, to best fit the specific structure and complexity of your dataset.

Do I need to clean my data before using this skill?

While the skill analyzes data structure, following best practices for data cleaning and preprocessing is recommended to ensure the highest accuracy in your regression models.

Regression Analysis & Modeling

Name: Regression Analysis & Modeling
Author: jeremylongshore

byjeremylongshore

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883

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Data Science & ML

Performs statistical regression analysis on datasets to identify trends, predict values, and evaluate variable relationships.

This skill transforms Claude into a data science assistant capable of automating the entire regression modeling workflow. It analyzes provided datasets to detect patterns, generates appropriate mathematical models—such as linear or polynomial regression—and validates them using industry-standard metrics like R-squared and RMSE. Whether you are forecasting financial trends, predicting housing prices, or analyzing scientific variables, this skill provides the rigorous analytical framework needed to derive actionable insights from raw data.

Key Features

01In-depth analysis of relationships between independent and dependent variables

02Automated generation of linear and polynomial regression models

03Detailed performance reporting with R-squared and RMSE metrics

04Statistical validation to ensure model accuracy and reliability

05Trend visualization and predictive forecasting based on historical data

06883 GitHub stars

Use Cases

01Analyzing the impact of specific variables on outcomes for scientific or social research

02Predicting future business metrics such as sales or revenue based on historical growth

03Building and testing predictive models for real estate, finance, or marketing data

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills regression-analysis-tool

For use in Claude.ai and ChatGPT

Download Skill

Key Features

01In-depth analysis of relationships between independent and dependent variables

02Automated generation of linear and polynomial regression models

03Detailed performance reporting with R-squared and RMSE metrics

04Statistical validation to ensure model accuracy and reliability

05Trend visualization and predictive forecasting based on historical data

06883 GitHub stars

Use Cases

01Analyzing the impact of specific variables on outcomes for scientific or social research

02Predicting future business metrics such as sales or revenue based on historical growth

03Building and testing predictive models for real estate, finance, or marketing data

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jeremylongshore/claude-code-plugins-plus-skills regression-analysis-tool

For use in Claude.ai and ChatGPT

Download Skill