residual standard deviation
- noun
- /rɪˈzɪdʒuəl ˈstændərd ˌdɛviˈeɪʃən/
- Specialized
:
desviación estándar residual
- A smaller residual standard deviation implies that the model's predictions are closer to the actual values.
Examples
-
The SR or Z-score is calculated from the mean predicted value and the residual standard deviation.
Academic text (2012) -
The LLN, or 'range' of normal lung volume, is calculated from the reference value and the residual standard deviation.
Academic text (2012) -
The residual standard deviation indicates how well the linear regression model fits the data.
-
To evaluate the predictions, we examined the residual standard deviation of the regression outputs.
Surface Forms
Morphology
residual + standard + deviation
The parts 'residual' (what remains), 'standard' (typical/benchmark) and 'deviation' (departure) give a learner a plausible rough sense of 'the typical amount the remaining/error values differ from a norm'. However, the precise statistical meaning (a specific measure computed from regression errors) and its technical usage are domain-specific and not fully predictable from everyday senses, so it is only partially transparent to a B1 learner.
Etymology
The noun residual standard deviation comes from a simple picture: after you draw a line that tries to fit a set of points, the residuals are the 'leftovers' — the distances up or down from each point to the line — and the standard deviation is the usual size of those leftovers. So, residual standard deviation means the typical size of those prediction errors, or 'how much the points are off' from the model.
