Regression is first used to fit more

Regression is often useful.

* Regression ( economics ), Ludwig von Mises ' theorem that tries to explain why money is demanded in its own right

Regression testing is any type of software testing that seeks to uncover new software bugs, or regressions, in existing functional and non-functional areas of a system after changes, such as enhancements, patches or configuration changes, have been made to them.

Regression testing is an integral part of the extreme programming software development method.

Regression toward the mean is a significant consideration in the design of experiments.

Regression toward the mean simply says that, following an extreme random event, the next random event is likely to be less extreme.

Regression backwards to the safety of the womb is a unique schizoid phenomenon and represents the most intense form of schizoid defensive withdrawal in an effort to find safety and to avoid destruction by external reality.

Regression is most often manifested after exposure to prolonged changes in the quality and intensity of environmental and / or immunological stimuli.

* Regression tree analysis is when the predicted outcome can be considered a real number ( e. g. the price of a house, or a patient ’ s length of stay in a hospital ).

The term Classification And Regression Tree ( CART ) analysis is an umbrella term used to refer to both of the above procedures, first introduced by Breiman et al.

Table 7. 7 in the book titled, " The Results of the Regression Analysis in which Real GDP Per Capita 1998 is Used as The Dependent Variable and National IQ is Used as the Independent Variable for 81 countries ".

Regression techniques can be used to determine if a specific case within a sample population is an outlier via the combination of two or more variable scores.

Regression analysis on categorical outcomes is accomplished through multinomial logistic regression, multinomial probit or a related type of discrete choice model.

Regression analysis is widely used for prediction and forecasting, where its use has substantial overlap with the field of machine learning.

Regression analysis is also used to understand which among the independent variables are related to the dependent variable, and to explore the forms of these relationships.

* Regression of Weakly Correlated Data — How linear regression mistakes can appear when Y-range is much smaller than X-range

The name is an acronym for Gnu Regression, Econometrics and Time-series Library.

Regression analysis on predicted outcomes that are binary variables is accomplished through logistic regression, probit regression or a related type of discrete choice model.

Regression of credit usually occurs when a student has completed an upper division course in a subject, and a lower leveled or lower division CLEP exam in the same or similar subject is attempted.

Regression dilution is a statistical phenomenon also known as " attenuation ".

Recall that linear regression is not symmetric: the line of best fit for predicting y from x ( the usual linear regression ) is not the same as the line of best fit for predicting x from y ( see, for example, Draper & Smith, " Applied Regression Analysis "; page 5 of the 1966 edition ).

Regression is a mechanism for proving consequences in the situation calculus.

* Regression testing, a software testing method which seeks to uncover regression bugs

* Regression – Attempts to find a function which models the data with the least error.

Empirical models that attempt to estimate the public investment and economic growth link involve a wide variety including: the Cobb-Douglas production function ; a behavioral approach cost / profit function which includes public capital stock ; Vector Auto Regression ( VAR ) models ; and government investment growth regressions.

Regression of CIS effectively results in the progressive conversion of a malignant neoplasm to a benign one, to a localized area of normal or near-normal tissue, with or without associated scar tissue, which often forms secondary to apoptosis, necrosis, and fibrosis.

For eight of these threats there exists the first letter mnemonic THIS MESS, which refers to the first letters of Testing ( repeated testing ), History, Instrument change, Statistical Regression toward the mean, Maturation, Experimental mortality, Selection and Selection Interaction.

* Regression test-to be performed on an existing operational product, to verify that existing functionality didn't get broken when other aspects of the environment are changed ( e. g., upgrading the platform on which an existing application runs ).

" Infinite Causal Regression ", Philosophical Review, 1966.

Regression methods are important in econometrics because economists typically cannot use controlled experiments.

* Regression analysis, a statistical technique for estimating the relationships among variables.

Regression testing can be used to test a system efficiently by systematically selecting the appropriate minimum set of tests needed to adequately cover a particular change.

Regression testing can be used not only for testing the correctness of a program, but often also for tracking the quality of its output.

Regression tests can be broadly categorized as functional tests or unit tests.

( 1988 ) " Five Hides in Ten Counties: a Contribution to the Domesday Regression Debate ", in: The Economic History Review, New series, Vol.

Regression towards the mean can be defined for any bivariate distribution with identical marginal distributions.

The concept of regression comes from genetics and was popularized by Sir Francis Galton during the late 19th century with the publication of Regression towards mediocrity in hereditary stature.

Regression analysis estimates what the average firm should be able to achieve.

Regression inward speaks to the magnitude of the reliance on primitive forms of fantasy and self-containment, often of an autoerotic or even objectless nature.

* Regression analysis includes a large group of methods that can be used to predict future values of a variable using information about other variables.

* Residuals and Influence in Regression, R. Dennis Cook, New York: Chapman and Hall, 1982.