Regression analysis
In
statistics, regression analysis examines the relation of a
dependent variable (response variable) to specified
independent variables (explanatory variables). The
mathematical model of their relationship is the regression equation. The dependent variable is modeled as a
random variable because of uncertainty as to its value, given only the value of each independent variable. A regression equation contains estimates of one or more hypothesized regression
parameters ("constants"). These estimates are constructed using
data for the variables, such as from a
sample. The estimates measure the relationship between the dependent variable and each of the independent variables. They also allow estimating the value of the dependent variable for a given value of each respective independent variable.
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regression analysis
Noun
1. the use of regression to make quantitative predictions of one variable from the values of another
(hypernym) multivariate analysis
(part-meronym) regression, simple regression, regression toward the mean, statistical regression
(classification) statistics
Regression analysis
A statistical technique that can be used to estimate relationships between
variables.
Regression Analysis
a statistical technique used to find relationships between variables for the purpose of predicting future values; see also analysis, coefficient of determination.
Regression analysis
A statistical technique for determining the best mathematical expression describing the functional relationship between one response and one or more independent variables.
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