- linear regression analysis
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regression analysis in which the dependent variable is assumed to be linearly related to the independent variable or variables. Also called linear regression.
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Universalium. 2010.
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Universalium. 2010.
linear regression analysis — Statistics. regression analysis in which the dependent variable is assumed to be linearly related to the independent variable or variables. Also called linear regression … Useful english dictionary
Linear discriminant analysis — (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterize or separate two or more classes of objects or events. The… … Wikipedia
Linear regression — Example of simple linear regression, which has one independent variable In statistics, linear regression is an approach to modeling the relationship between a scalar variable y and one or more explanatory variables denoted X. The case of one… … Wikipedia
Regression analysis — In statistics, regression analysis is a collective name for techniques for the modeling and analysis of numerical data consisting of values of a dependent variable (response variable) and of one or more independent variables (explanatory… … Wikipedia
Regression Analysis of Time Series — Infobox Software name = RATS caption = developer = Estima latest release version = 7.0 latest release date = 2007 operating system = Cross platform genre = econometrics software license = Proprietary website =… … Wikipedia
Outline of regression analysis — In statistics, regression analysis includes any technique for learning about the relationship between one or more dependent variables Y and one or more independent variables X. The following outline is an overview and guide to the variety of… … Wikipedia
Bayesian linear regression — In statistics, Bayesian linear regression is a Bayesian alternative to the more well known ordinary least squares linear regression.Consider standard linear regression problem, where we specify the conditional density of y, given x, predictor… … Wikipedia
Least-squares estimation of linear regression coefficients — In parametric statistics, the least squares estimator is often used to estimate the coefficients of a linear regression. The least squares estimator optimizes a certain criterion (namely it minimizes the sum of the square of the residuals). In… … Wikipedia
Bayesian multivariate linear regression — Consider a collection of m linear regression problems for n observations, related through a set of common predictor variables {x {c}}, and a jointly normal errors {epsilon {c}} ::y {1} = eta {1} x {1} + epsilon {1},,:y {c} = eta {c} x {c} +… … Wikipedia
Simple linear regression — A regression analysis between only two variables, one dependent and the other explanatory. The New York Times Financial Glossary … Financial and business terms