Glossary entry (derived from question below)
English term or phrase:
linear regression
Greek translation:
γραμμική παλινδρόμηση
Dec 9, 2009 08:55
14 yrs ago
English term
linear regression
GBK
English to Greek
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
(Greek)
5 +2 | γραμμική παλινδρόμηση | Sakis Serafeim |
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 "Completion"
Proposed translations
+2
9 mins
Selected
γραμμική παλινδρόμηση
Definition from
own experience or research:
Η γραμμική παλινδρόμηση συσχετίζει δύο μεταβλητές με την προσαρμογή μιας γραμμικής εξίσωσης στα δεδομένα που λαμβάνονται από την παρατήρηση.
Example sentences:
Στο μοντέλο της απλής γραμμικής παλινδρόμησης , όπου y = b0 + b1x + u, αναφερόμαστε τυπικά στο y ως: - Εξαρτημένη μεταβλητή, ή - Αριστερόπλευρη μεταβλητή, ή - Επεξηγημένη μεταβλητή, ή - Παλινδρομούμενη Μεταβλητή (Δημοκρίτειο Πανεπιστ�)
4 KudoZ points awarded for this answer.
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