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Regression Analysis Helper

Listed
jeremylongshore·vlatest·data·MIT

Quickly generate regression models, interpret coefficients, and assess fit with this helpful analysis tool.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add jeremylongshore/tons-of-skills-marketplace --skill regression-analysis-helper -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jeremylongshore

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

Nobody has reviewed this code. TrustedSkills indexes and links skills; it does not audit, run or scan them. A skill runs with whatever access you give your agent — read the source before you install it.

Automated safety checks

scanned

We could not read this skill's source, so none of the checks below were run.

Not scanned. none of the 396 skills in the repository match this slug — it was most likely renamed or removed upstream after the registry indexed it Source recorded as jeremylongshore/claude-code-plugins-plus-skills.
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About this skill

What it does

This skill assists with regression analysis tasks. It can interpret data, identify potential relationships between variables, and help formulate appropriate statistical models. The tool is designed to streamline the process of performing regression analyses and understanding their results.

When to use it

  • Analyzing sales data to determine the impact of advertising spend on revenue.
  • Predicting housing prices based on factors like square footage, location, and number of bedrooms.
  • Evaluating the effectiveness of a new drug by analyzing patient outcomes versus a control group.
  • Understanding the relationship between website traffic and conversion rates.

Key capabilities

  • Data interpretation for regression models
  • Identification of variable relationships
  • Statistical model formulation assistance

Example prompts

  • "Analyze this dataset and identify potential predictors of customer churn."
  • "Help me formulate a linear regression model to predict sales based on advertising spend and seasonality."
  • "Explain the R-squared value for this regression analysis in plain language."

Tips & gotchas

The skill's effectiveness depends on the quality and structure of the input data. Ensure your data is properly formatted and contains relevant variables for accurate results.