Glossary entry (derived from question below)
English term or phrase:
linear regression
Croatian translation:
linearna regresija
Dec 9, 2009 08:55
14 yrs ago
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English term
linear regression
GBK
English to Croatian
Science
Mathematics & Statistics
Definition from
Department of Statistics - Yale University:
Linear regression attempts to model the relationship between two variables by fitting a linear equation to observed data. One variable is considered to be an explanatory variable, and the other is considered to be a dependent variable.
Example sentences:
A robust linear regression based algorithm was developed to automate the evaluation of peptide identifications obtained from shotgun proteomic experiments. (Incob Taiwan 2008)
In a cause and effect relationship, the independent variable is the cause, and the dependent variable is the effect. Least squares linear regression is a method for predicting the value of a dependent variable Y, based on the value of an independent variable X. (Stat Trek)
In order to introduce the concepts underlying multiple linear regression, it is necessary to be familiar with and understand the basic theory of simple linear regression on which it is based. (British Dental Journal)
Proposed translations
(Croatian)
| 5 +2 | linearna regresija |
Gordanas
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Change log
Dec 8, 2009 13:25: changed "Kudoz queue" from "In queue" to "Public"
Dec 9, 2009 08:55: changed "Stage" from "Preparation" to "Submission"
Dec 12, 2009 09:55: changed "Stage" from "Submission" to "Selection"
Feb 5, 2010 10:54: changed "Stage" from "Selection" to "Completion"
Proposed translations
+2
4 days
Selected
linearna regresija
Definition from
Wikipedia:
U statistici, linearna regresija se odnosi na svaki pristup modeliranju relacija između jedne ili više varijabli označene sa Y, te jedne ili više varijabli označene sa X, na način da takav model linearno ovisi o nepoznatim parametrima estimiranih iz podataka.
Example sentences:
Jednostruka linearna regresija U slučaju postojanja samo jedne ovisne ili regresand i samo jedne neovisne ili regresorske varijable kaže se da je to jednostavni, jednostruki ili jednodimenzionalni regresijski model, a regresijska analiza se može postaviti na slijedeći način: 1. Potpuno, precizno i koncizno definiranje predmeta i ciljeva istraživanja, te postavljanje osnovnih pretpostavki. 2. Crtanje dijagrama rasipanja, izbor modela i definiranje varijabli. Na primjer, aditivni model1 Y = f (X ) + e, gdje je: Y- ovisna ili regresand varijabla, X - neovisna ili regresorska varijabla, e - slučajna komponenta. (Ekonomski fakultet Sveučilišta u Split)
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