Categories

Regression Calculator

Run simple linear regression on paired numeric data and inspect slope, intercept, correlation, and predictions

Example Results

2 examples

Fit a sales trend line

Use monthly ad spend and sales pairs to estimate slope, intercept, and the next predicted value

{
  "result": {
    "slope": 0.6,
    "intercept": 2.2,
    "correlation": 0.7746,
    "rSquared": 0.6,
    "predictedY": {
      "x": 6,
      "y": 5.8
    }
  }
}
View input parameters
{ "pairedData": "1, 2\n2, 4\n3, 5\n4, 4\n5, 5", "xValues": "", "yValues": "", "predictionX": "6", "precision": 4 }

Run regression from split X and Y lists

Enter X and Y series separately when the raw data is already stored in two aligned lists

{
  "result": {
    "slope": 0.69,
    "intercept": 8.5,
    "correlation": 0.987,
    "rSquared": 0.974
  }
}
View input parameters
{ "pairedData": "", "xValues": "10, 20, 30, 40", "yValues": "15, 18, 28, 35", "predictionX": "", "precision": 3 }

Key Facts

Category
Math & Numbers
Input Types
textarea, text, number
Output Type
json
Sample Coverage
3
API Ready
Yes

Overview

Regression Calculator is an online math & numbers tool for run simple linear regression on paired numeric data and inspect slope, intercept, correlation, and predictions. It is especially useful when working with numeric data content.

When to Use

  • Use it when you need to analyze numeric data content quickly in the browser.
  • Helpful for math & numbers workflows that need repeatable inputs and fast results.
  • Useful when you want to test input and output behavior before integrating the workflow elsewhere.

How It Works

  • Provide Data Pairs, X Values (Optional), Y Values (Optional), Prediction X (Optional) as input to the tool.
  • The tool processes the request and returns a json result.
  • For repeatable workflows, use the API endpoint shown on the page after validating the result interactively.

Use Cases

Analyze numeric data data during debugging or QA.
Validate expected output before using the API or automation flows.
Compare small variations of input to understand output differences quickly.

Try with Samples

math-&-numbers

Related Hubs

FAQ

What does Regression Calculator do?

Regression Calculator helps you analyze numeric data content online without setting up a separate local script or app.

When should I use this tool?

Use it when you need a quick analyze workflow, want to verify output, or need a browser-based utility for math & numbers tasks.

Can I try this tool with sample data?

Yes. Try short representative inputs first, then move to larger or more complex cases once the output looks correct.

What inputs does Regression Calculator accept?

Regression Calculator accepts Data Pairs, X Values (Optional), Y Values (Optional), Prediction X (Optional).

Is there an API for Regression Calculator?

Yes. The tool page includes an API endpoint so you can move from manual testing to scripted usage.

API Documentation

Request Endpoint

POST /en/api/tools/regression-calculator

Request Parameters

Parameter Name Type Required Description
pairedData textarea No -
xValues text No -
yValues text No -
predictionX text No -
precision number No -

Response Format

{
  "key": {...},
  "metadata": {
    "key": "value"
  },
  "error": "Error message (optional)",
  "message": "Notification message (optional)"
}
JSON Data: JSON Data

AI MCP Documentation

Add this tool to your MCP server configuration:

{
  "mcpServers": {
    "elysiatools-regression-calculator": {
      "name": "regression-calculator",
      "description": "Run simple linear regression on paired numeric data and inspect slope, intercept, correlation, and predictions",
      "baseUrl": "https://elysiatools.com/mcp/sse?toolId=regression-calculator",
      "command": "",
      "args": [],
      "env": {},
      "isActive": true,
      "type": "sse"
    }
  }
}

You can chain multiple tools, e.g.: `https://elysiatools.com/mcp/sse?toolId=png-to-webp,jpg-to-webp,gif-to-webp`, max 20 tools.

If you encounter any issues, please contact us at [email protected]