regressions

Englisch - Türkisch

Definition von regressions im Englisch Türkisch wörterbuch: regresyon
regression: gerileme
Durgunluk gerileme anlamına gelir. - Stagnation means regression.
regression: (Askeri) ilişki arama
regression: geri dönme
regression: yordama
regression: bağlanım
regression: (Askeri) ilişki yoklaması
regression: (Dilbilim) düzgün doğrusal
regression: gerilim
regression: deniz gerilemesi
regression: geri çekilme
regression: (İstatistik) İstatistikte bir metod. Değişkenler arasındaki ilişkiyi test etmekte kullanilanir
regression: (Askeri) İLİŞKİ ARAMA, İLİŞKİ YOKLAMASI, REGRESYON
regression: {i} dönüş
regression: (Tıp) Bir hastalık belirtilerinin gerilemesi
regression: denizin geri çekilmesi
regression: (Tıp) Geriye doğru gitme

Englisch - Englisch

Definition von regressions im Englisch Englisch wörterbuch: plural of regression
regression: A psychotherapeutic method whereby healing is facilitated by inducing the patient to act out behaviour typical of an earlier developmental stage
regression: An analytic method to measure the association of one or more independent variables with a dependent variable
regression: An action of regressing, a return to a previous state
Few of these groups or communities that are classed as savage show no traces of regression from a more advanced cultural stage.
regression: An equation using specified and associated data for two or more variables such that one variable can be estimated from the remaining variable(s)
regression: The reappearance of a bug in a piece of software that had previously been fixed
regression: {n} a return, a goin back
regression: A statistical technique used to establish the relationship of a dependent variable (fund or portfolio) and an independent variable (index) This shows how similar or dissimilar the selected component, less the risk free proxy, is to the market proxy
regression: Usually linear regression is used to explain and/or predict The general form is Y = a + bX + u, where Y is the variable that we are trying to predict; X is the variable that we are using to predict Y, a is the intercept; b is the slope and u is the regression residual The a and b are chosen in a way to minimize the squared sum of the residuals The ability to fit or explain is measured by the R-squared
regression: A statistical technique for relating the sensitivity of the detector array to a constant value that compensates for any irregularities in the detector A least squares fit is performed to determine the regression model In a two-dimensional graphical representation this regression model would be a line that minimizes the sum of the squares of the vertical distances of the intensity values from the line
regression: The act of passing back or returning; retrogression; retrogradation
regression: A form of statistical modelling that attempts to evaluate the relationship between one variable (termed the dependent variable) and one or more other variables (termed the independent variables) It is a form of global analysis as it only produces a single equation for the relationship thus not allowing any variation across the study area Geographically Weighted Regression is a local analysis form of regression
regression: (psychiatry) a defense mechanism in which you flee from reality by assuming a more infantile state
regression: the analysis or measure of the association between a dependent variable and one or more independent variables, usually formulated as an equation in which the independent variables have parametric coefficients, which may enable future values of the dependent variable to be predicted
regression: an abnormal state in which development has stopped prematurely
regression: Statistical technique used to evaluate relationships among variables
regression: A statistical technique used to establish the relationship of a dependent variable (e g excess return) and one or more independent variables (e g exposure to market, size, and value risks) Slope coefficients measure the sensitivity of the dependent variable to changes in the independent variables By measuring exactly how large and significant each independent variable has historically been in its relation to the dependent variable, the future value of the dependent variable can be estimated Essentially, regression analysis attempts to measure the degree of correlation between the dependent and independent variables, thereby establishing the latter's predictive values
regression: The prediction of one variable from knowledge of one or more other variables
regression: the slow lowering of sea level and/or raising of the edge of a contin-ent such that the shoreline slowly moves away from the center of the continent, exposing more land above sea level Marine sediments deposited during regres-sion get coarser in size as you move vertically upward through the pile
regression: The statistical counterpart or analog of the functional expression, in ordinary mathematics, on one variable in terms of others Thus, regression curve, regression coefficient
regression: A psychotherapeutic method whereby healing is facilitated by inducing the patient to act out behaviour typical of a an earlier developmental stage
regression: A statistical procedure that is used to describe linear relationships between dependent variables and independent variables
regression: A withdrawal of the sea from the land, due to uplift or a eustatic (qv) drop in sea level See transgression
regression: Reduction in the size of a tumor The opposite of progression Regression can be partial or it can be complete (meaning that the tumor completely disappears from a particular place in the body)
regression: A statistical technique that uses the association between the independent variable(s) and the dependent variable as means of prediction May be described as either simple linear (1 independent variable) or multiple regression (more than one independent variable) Selection procedures for multiple regression include forward selection, backward selection, and stepwise selection (see Appendix D)
regression: In biometrics it is the dependence of a variable called "dependent" on another variable called "independent variable" The regression coefficient is the numerical measure of the rate of change of the independent variable on the dependent variable The straight or curved regression line indicates the nature of a regression on a graph with the dependent on the Y axis and the independent on the X axis
regression: returning to a former state the relation between selected values of x and observed values of y (from which the most probable value of y can be predicted for any value of x) (psychiatry) a defense mechanism in which you flee from reality by assuming a more infantile state
regression: Retreating to past developmental levels of behavior, generally in an attempt to reduce overwhelming anxiety May be used as a defense mechanism
regression: returning to a former state
regression: {i} act of moving backward; return to a previous state, retrogression
regression: An appraisal principle that states that, between dissimilar properties, the value of the better-quality property is affected adversely by the presence of the lesser-quality property (See appraisal)
regression: A backwards shift from the initial visual outcome
regression: the relation between selected values of x and observed values of y (from which the most probable value of y can be predicted for any value of x)
regression: A statistical method for studying and expressing the change in one variable associated with and dependent upon changes in another related variable or group of variables A line that shows the relationships between two variables
regression: is a statistical procedure to establish the relationship between two variables, for example fund and benchmark excess returns Each point is plotted on a graph and a line of best fit calculated The slope of the line is called the regression Beta The intercept with the axis is called Alpha
regression: In statistics, a process for determining a line or curve that best represents the general trend of a data set. Linear regression results in a line of best fit, for which the sum of the squares of the vertical distances between the proposed line and the points of the data set are minimized (see least squares method). Other types of regression may be based on higher-degree polynomial functions or exponential functions. A quadratic regression, for example, uses a quadratic function (second-degree polynomial function) to produce a parabola of best fit
regression: An analytic method to measure the relationship between two variables
regression: A mathematical technique used to explain and/or predict The general form is Y = a + bX + u, where Y is the variable that we are trying to predict; X is the variable that we are using to predict Y, a is the intercept; b is the slope, and u is the regression residual The a and b are chosen in a way to minimize the squared sum of the residuals The ability to fit or explain is measured by the R-square
regression: A term coined by Galton for the tendency of the quantitative traits of offspring to be closer to the population mean than are their parents' traits It arises from a combination of factors - dominance, gene interactions, and environmental influences on traits
regression: the movement of points in an orbit in the direction opposite from the motion of the orbiting body For example, the Moon travels from west to east, but its nodes are regressing from east to west S
regression: Functioning in a less-highly-evolved, less effective way (as one did at an earlier time), or in self-defeating ways Regression is often triggered by external threats or stress; it can be intentionally elicited and utilized in the service of personal development through the Mentoring process