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Miha Kralj
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lib/statistics/stderr/Stderr.md
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````markdown
# Stderr: Standard Error of Regression
| Property | Value |
| ---------------- | -------------------------------- |
| **Category** | Statistic |
| **Inputs** | Source (close) |
| **Parameters** | `period` |
| **Outputs** | Single series (Stderr) |
| **Output range** | Varies (see docs) |
| **Warmup** | `period` bars |
### TL;DR
- ````markdown
- Parameterized by `period`.
- Output range: Varies (see docs).
- Requires `period` bars of warmup before first valid output (IsHot = true).
- Validated against TA-Lib, Skender, and Tulip reference implementations where available.
> "How confident are you in your line of best fit?"
Standard Error of Regression (also called the Standard Error of the Estimate) measures the average distance that the observed values fall from the regression line. It quantifies the typical size of the residuals, providing a direct measure of how well a linear regression model fits the data.