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Linear Regression
(redirected from Regression model)

   Also found in: Dictionary/thesaurus, Medical, Encyclopedia, Wikipedia 0.02 sec.
Linear regression
A statistical technique for fitting a straight line to a set of data points.

Linear Regression
A statistical technique in which one takes a set of data points and plots them on a line. Linear regression is used to determine trends in economic data. For example, one may take different figures of GDP growth over time and plot them on a line in order to determine whether the general trend is upward or downward.


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The 18 papers here, selected from 38 presented at the conference, discuss such topics as NooJ applications for document clustering and corpus linguistics, building NooJ inflection graphs for the morphological description of nouns in Romanian, syntactic alternations, treating Chinese orthographical and lexical variants, regression model for politeness estimation trained on examples, and the treatment of named entities in machine translation.
This paper provides an Edgeworth expansion for the distribution of the maximum likelihood estimators (MLE) of the parameter of a time series generated by a linear regression model with Gaussian, stationary, long-memory errors.
The obtained models do not well match the regression model of the entire production line as shown in Fig.
 
 
 
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