Linear regression

Code-Snippets

curl "https://api.oanor.com/statistics-api/v1/regression" \
  -H "x-oanor-key: oanor_test_..."

await fetch("https://api.oanor.com/statistics-api/v1/regression", {
  headers: { "x-oanor-key": "oanor_test_..." }
});

$ch = curl_init("https://api.oanor.com/statistics-api/v1/regression");
curl_setopt($ch, CURLOPT_HTTPHEADER, ["x-oanor-key: oanor_test_..."]);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
$out = curl_exec($ch);

import requests
requests.get(
    "https://api.oanor.com/statistics-api/v1/regression",
    headers={"x-oanor-key": "oanor_test_..."}
)

Beispiel-Response

Echte Antwort dieses Endpoints, erfasst beim letzten Health-Check.

{
    "data": {
        "note": "Least-squares line y = a + b·x with b = Σ(x−x̄)(y−ȳ)/Σ(x−x̄)². Pass 'predict_x' to predict y.",
        "slope": 0.6,
        "inputs": {
            "count": 5
        },
        "equation": "y = 2.2 + 0.6x",
        "intercept": 2.2,
        "r_squared": 0.6,
        "predicted_y": 5.8
    },
    "meta": {
        "timestamp": "2026-06-04T18:38:15.090Z",
        "request_id": "67e890e0-d913-41b0-b08e-8e5575beca73"
    },
    "status": "ok",
    "message": "Linear regression",
    "success": true
}