It is a measure of how likely the observed values (or those more extreme) are under the assumptions of the regression model.
of, pertaining to, or determined by regression analysis: regression curve; regression equation. dictionary.com
Before undertaking regression analysis, one must decide on which variables will be analysed. Regression analysis is predicting a variable from a number of other variables.
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Regression analysis is a statistical technique to measure the degree of linear agreement in variations between two or more variables.
Peihua Qiu has written: 'Image processing and jump regression analysis' -- subject(s): Regression analysis, Image processing
Howard E. Doran has written: 'Applied regression analysis in econometrics' -- subject(s): Econometrics, Regression analysis
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ROGER KOENKER has written: 'L-estimation for linear models' -- subject(s): Regression analysis 'L-estimation for linear models' -- subject(s): Regression analysis 'Computing regression quantiles'
A. L. Wilson has written: 'A regression manual' -- subject(s): Regression analysis
In regression analysis , heteroscedasticity means a situation in which the variance of the dependent variable varies across the data. Heteroscedasticity complicates analysis because many methods in regression analysis are based on an assumption of equal variance.
Alan Pankratz has written: 'Forecasting with dynamic regression models' -- subject(s): Prediction theory, Regression analysis, Time-series analysis