Judged: two independent readers; copy check clear.

multiple linear regression

multiple linear regression Multiple linear regression is a statistical method used to examine how one outcome is related to several predictor variables at the same time.

Multiple linear regression is a statistical method used to examine how one outcome is related to several predictor variables at the same time. In the source context, it is used when some measurements may be limited or left-censored, so the analysis must account for those incomplete values carefully.

Sources

Drafting source: Hafermann Lorena; Yokota Isao; Kalski Linda; Wolfarth Bernd; Herrmann Carolin. Multiple linear regression modeling with values below a lower limit of quantification – a statistical method comparison. 2026; DOI 10.1186/s12874-026-02770-y; article XML SHA-256 aea96dc4f3cc6e6d057c76c7d8639c72edccb17238d03361314fb5f675d9a3dd. “Multiple linear regression modeling with values below a lower limit of quantification – a statistical method comparison” (10.1186/s12874-026-02770-y).
CC-BY-4.0 · Definition uses new wording; original source retains its stated licence. · Source snapshot SHA-256: aea96dc4f3cc6e6d057c76c7d8639c72edccb17238d03361314fb5f675d9a3dd

These citations identify the drafting sources. 2/2 independent reader passes against the pinned source packet. The drafter does not count as a reader. Source institutions do not endorse this dictionary.

Cite this entry

PsychTerms (psychterms.org), CC BY 4.0, version 2. “multiple linear regression.” Development preview.

Version 2 · SHA-256: 3280ca05b3bf2829175428c120aee5123a1b56fbc0ae6258c557df9fc2575f09

Edit this entry on GitHub

multiple linear regression

See also

Sources

Cite this entry