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 toward the mean

* Regression toward the mean, a common statistical phenomenon

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

Regression to the mean in sports performance may be the reason for the “ Sports Illustrated Cover Jinx ” and the “ Madden Curse ”.

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

Regression analysis revealed that thickening of the mean intima-media complex more than 1. 0 was predictive of significant CAD our patients.

# REDIRECT Regression toward the mean

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 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.

Regression analysis producing statistically significant negative relationships indicates that two individuals can be less genetically alike than two random ones on average ( Hamilton 1970, Nature & Grafen 1985 Oxford Surveys in Evolutionary Biology ).

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

There are also programs specifically written to do curve fitting ; they can be found in the lists of statistical and numerical analysis programs as well as in: Category: Regression and curve fitting software.

* 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 ).

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

* R: The function for fitting a generalized linear model in R is glm (), and can be used for Poisson Regression

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

Regression methods continue to be an area of active research.

* 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 ).

STATISTICA is customizable and may be used to call external code modules, including R. This collection of data mining and machine learning algorithms includes: Support Vector Machines, EM and k-Means Clustering, Classification & Regression Trees, Generalized Additive Models, Independent Component Analysis, Stochastic Gradient Boosted Trees, Ensembles of Neural Networks, Automatic Feature Selection, MARSplines, CHAID Trees, Nearest Neighbor Methods, Association Rules, and Random Forests.

* Regression analysis – techniques for analyzing the relationships between several variables in the data

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

Regression analysis controls for other relevant variables by including them as regressors ( explanatory variables ).

Regression analysis controls for other relevant variables by including them as regressors ( explanatory variables ).

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

Regression models for prediction are often useful even when the assumptions are moderately violated, although they may not perform optimally.

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

* 203-Gorilla with a Fist, Regression Aggression, Fear Antics: Mandroid's Revenge, Flowers for My Lady

* Crown, William H. ( 1998 ) Statistical Models for the Social and Behavioral Sciences: Multiple Regression and Limited-Dependent Variable Models ISBN 0275953165

* Stanton, Jeffrey M. ( 2001 ) " Galton, Pearson, and the Peas: A Brief History of Linear Regression for Statistics Instructors ", Journal of Statistics Education, 9 ( 3 )

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.

* A Review of Cross Sectional Regression for Financial Data Lectute notes by Gary Koop, Department of Economics, University of Strathclyde

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

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.

" Retraction: Regression of human metastatic renal cell carcinoma after vaccination with tumor cell-dendritic cell hybrids " in Nature Medicine ( volume 9, page 1221 ) was a retraction of a year 2000 article by Kugler et al.

Regression dilution arises if we are interested in the relationship between y and x, but estimate the relationship between y and w. Because w is measured with variability, the gradient of a regression line of y on w is less than the regression line of y on x.

The table below demonstrates the extensive and differential diagnosis of acquired epileptic aphasia along with Cognitive and Behavioral Regression:

Thesis: Regression with minimum absolute deviations