regression analysis
narrower: linear models
narrower: regression coefficient
narrower: multiple regression
narrower: maximum likelihood estimation
narrower: least-squares analysis
narrower: goodness-of-fit test
narrower: scatterplot
narrower: ordinary least squares
narrower: logistic models
narrower: bivariate regression
narrower: proportional hazards models
narrower: best linear unbiased estimator
narrower: least squares criterion
broader: statistics as topic
definition: Regression is a statistical method for estimating the relationship between one or more predictor (independent) variables and a criterion (dependent) variable. Conventionally, regression studies have focused on the correlation between the predictors and the criterion variable. [Source: Encyclopedia of Evaluation; Regression Analysis]
type: Concept

statistics as topic
type: Concept
narrower: regression analysis

multiple regression
type: Concept
broader: regression analysis

scatterplot
type: Concept
broader: regression analysis

best linear unbiased estimator
type: Concept
broader: regression analysis

proportional hazards models
type: Concept
broader: regression analysis

logistic models
type: Concept
broader: regression analysis

least squares criterion
type: Concept
broader: regression analysis

least-squares analysis
type: Concept
broader: regression analysis

linear models
type: Concept
broader: regression analysis

regression coefficient
type: Concept
broader: regression analysis

ordinary least squares
type: Concept
broader: regression analysis

methods
type: Collection
type: ConceptGroup
member: regression analysis

goodness-of-fit test
type: Concept
broader: regression analysis

bivariate regression
type: Concept
broader: regression analysis

maximum likelihood estimation
type: Concept
broader: regression analysis