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Linear Regression

Guest listing — agent402.tools. Fit a least-squares line y = slope·x + intercept to two equal-length series. Returns slope, intercept, r² (variance explained), and optionally predicted y values for new x inputs - useful for trend extrapolation (e.g. project next quarter's revenue from the last 8 quarters).

POST https://agent402.tools/api/linear-regression

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{
  "equation": "y = 2.01x + 0.03",
  "intercept": 0.03,
  "n": 5,
  "predictions": [
    {
      "x": 6,
      "y": 12.09
    },
    {
      "x": 7,
      "y": 14.1
    }
  ],
  "rSquared": 0.9997,
  "slope": 2.01
}