ForHosting KIT · Developer Utilities

Linear regression calculator

Simple linear regression finds the straight line that best explains how a response y changes with a predictor x under ordinary least squares.

● BetaFree · in your browser

Run — free How it works & API

Use it from WebAPIEmailTelegramApp soon

The fitted model is written y equals m times x plus b, where the slope m is the expected change in y for a one-unit rise in x and the intercept b is the fitted value when x is zero. Goodness of fit is summarized by R-squared, the fraction of variance in y explained by the line, which equals one minus residual sum of squares over total sum of squares. Students meet this tool in algebra and introductory statistics when they plot scatter charts and draw a line of best fit by hand; analysts use the same closed form for trend lines, calibration curves, and quick forecasts without spinning up a full statistics package. This calculator accepts paired points as parallel x and y lists or as a JSON array of pairs, rejects degenerate series where every x value is the same because the slope would be undefined, and returns cleaned series, means, slope, intercept, R-squared, correlation, residual diagnostics, and a printable equation string. The free browser tool and the paid API share one pure isomorphic function, so classroom demos and automated pipelines never diverge on the same data.

How to use it

Enter your values in the form above. The tool checks them before calculating and shows the result on the same page.

Check your inputs

Use the labels and units shown next to each field. If something is missing or outside the allowed range, the page points to the field to fix.

Use it again or automate it

Use the browser tool for individual checks and the API when you need the same capability in an automated workflow.

What you can do with it

Get an answer now

Enter one set of values and see the result without building a spreadsheet or script.

Compare scenarios

Change one value at a time and rerun the calculation to understand what affects the result.

Automate repeated work

Use the API when the same calculation needs to run inside your product or workflow.

FAQ

How do I use this capability?

Complete the fields above and run it on this page. The form highlights anything that needs attention.

For developers — API access

Everything on this page is available programmatically. This section is for teams who want to wire it into their own systems; everyone else can just use the tool above.

API endpoint

POSThttps://api.kit.forhosting.com/stat/linear-regression

Prefer to automate it? One authenticated POST creates the task; the result comes back by webhook or a signed link. The same capability also runs here on the web, by email and from Telegram — and soon from our app too.

Call it from your stack

curl -X POST https://api.kit.forhosting.com/stat/linear-regression \
  -H "Authorization: Bearer $KIT_KEY" \
  -H "Content-Type: application/json" \
  -d '{"x":"1, 2, 3, 4, 5","y":"2, 4, 5, 4, 5"}'

const res = await fetch("https://api.kit.forhosting.com/stat/linear-regression", {
  method: "POST",
  headers: {
    "Authorization": `Bearer ${process.env.KIT_KEY}`,
    "Content-Type": "application/json"
  },
  body: JSON.stringify({
    "x": "1, 2, 3, 4, 5",
    "y": "2, 4, 5, 4, 5"
  })
});
const { task_id } = await res.json();

import os, requests

res = requests.post(
    "https://api.kit.forhosting.com/stat/linear-regression",
    headers={"Authorization": f"Bearer {os.environ['KIT_KEY']}"},
    json={
    "x": "1, 2, 3, 4, 5",
    "y": "2, 4, 5, 4, 5"
},
)
task_id = res.json()["task_id"]

<?php
$res = file_get_contents("https://api.kit.forhosting.com/stat/linear-regression", false, stream_context_create([
  "http" => [
    "method"  => "POST",
    "header"  => "Authorization: Bearer " . getenv("KIT_KEY") . "\r\nContent-Type: application/json",
    "content" => '{"x":"1, 2, 3, 4, 5","y":"2, 4, 5, 4, 5"}',
  ],
]));
$task = json_decode($res, true);

body := bytes.NewBufferString(`{"x":"1, 2, 3, 4, 5","y":"2, 4, 5, 4, 5"}`)
req, _ := http.NewRequest("POST", "https://api.kit.forhosting.com/stat/linear-regression", body)
req.Header.Set("Authorization", "Bearer "+os.Getenv("KIT_KEY"))
req.Header.Set("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)

Example request

{
  "x": "1, 2, 3, 4, 5",
  "y": "2, 4, 5, 4, 5"
}

Example response

{
  "task_id": "tsk_a1b2c3d4e5f6a1b2c3d4e5f6",
  "type": "stat.linear_regression",
  "status": "queued",
  "_links": {
    "result": "/tasks/tsk_…/result"
  }
}

The API is asynchronous: the call returns a task_id immediately and the result arrives by webhook. Polling is capped at 1 req/s per task.

Pricing

Per request$0.002

Published price — no tokens, no invented credits. A failed task is never charged.

Errors

HTTP	Code	Meaning
`401`	`unauthorized`	Missing or invalid API key.
`402`	`insufficient_balance`	Your balance doesn't cover the task price.
`404`	`unknown_type`	That task type doesn't exist.
`429`	`rate_limited`	Too many requests. Use the webhook instead of polling.

Read the full KIT documentation →

Run — free