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regression    音标拼音: [rəgr'ɛʃən]
n. 回归
n. 复原,逆行,退步

回归复原,逆行,退步

regression
回归

regression
n 1: an abnormal state in which development has stopped
prematurely [synonym: {arrested development}, {fixation},
{infantile fixation}, {regression}]
2: (psychiatry) a defense mechanism in which you flee from
reality by assuming a more infantile state
3: 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) [synonym: {regression}, {simple
regression}, {regression toward the mean}, {statistical
regression}]
4: returning to a former state [synonym: {regression}, {regress},
{reversion}, {retrogression}, {retroversion}]

Regression \Re*gres"sion\ (r?*gr?sh"?n), n. [L. regressio: cf.
F. r['e]gression.]
The act of passing back or returning; retrogression;
retrogradation. --Sir T. Browne.
[1913 Webster]

{Edge of regression} (of a surface) (Geom.), the line along
which a surface turns back upon itself; -- called also a
{cuspidal edge}.

{Regression point} (Geom.), a cusp.
[1913 Webster]

135 Moby Thesaurus words for "regression":
Brownian movement, Freudian fixation, about-face, advance,
angular motion, arrested development, ascending, ascent, atavism,
axial motion, backflowing, backing, backset, backsliding,
backward deviation, backward motion, career, climbing, comedown,
course, current, debasement, decadence, decadency, declension,
declination, decline, deformation, degeneracy, degenerateness,
degeneration, degradation, demotion, depravation, depravedness,
depreciation, derogation, descending, descent, deterioration,
devolution, disenchantment, downtrend, downturn, downward mobility,
downward motion, downward trend, drift, driftage, drop, dying, ebb,
ebbing, effeteness, fading, failing, failure, failure of nerve,
fall, falling back, falling-off, father fixation, fixation, flight,
flip-flop, flow, flux, forward motion, infantile fixation,
involution, lapse, libido fixation, loss of tone, mother fixation,
mounting, oblique motion, ongoing, onrush, parent fixation,
passage, plunging, pregenital fixation, progress, radial motion,
random motion, recidivation, recidivism, reclamation, reconversion,
recrudescence, recurrence, reflowing, refluence, reflux, regress,
rehabilitation, reinstatement, relapse, renewal, restitution,
restoration, retreat to immaturity, retrocession, retrogradation,
retrogression, retroversion, return, returning, reversal, reverse,
reversion, reverting, revulsion, rising, run, rush, set, setback,
sideward motion, sinking, slippage, slipping back, slump, soaring,
sternway, stream, subsiding, throwback, traject, trajet, trend,
turn, turnabout, upward motion, wane


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  • Support Vector Regression vs. Linear Regression - Cross Validated
    Linear regression can use the same kernels used in SVR, and SVR can also use the linear kernel Given only the coefficients from such models, it would be impossible to distinguish between them in the general case (with SVR, you might get sparse coefficients depending on the penalization, due to $\epsilon$-insensitive loss)
  • Multivariable vs multivariate regression - Cross Validated
    Multivariable regression is any regression model where there is more than one explanatory variable For this reason it is often simply known as "multiple regression" In the simple case of just one explanatory variable, this is sometimes called univariable regression Unfortunately multivariable regression is often mistakenly called multivariate regression, or vice versa Multivariate
  • regression - Why do we say the outcome variable is regressed on the . . .
    The word "regressed" is used instead of "dependent" because we want to emphasise that we are using a regression technique to represent this dependency between x and y So, this sentence "y is regressed on x" is the short format of: Every predicted y shall "be dependent on" a value of x through a regression technique
  • Explain the difference between multiple regression and multivariate . . .
    There ain’t no difference between multiple regression and multivariate regression in that, they both constitute a system with 2 or more independent variables and 1 or more dependent variables
  • What is the lasso in regression analysis? - Cross Validated
    LASSO regression is a type of regression analysis in which both variable selection and regulization occurs simultaneously This method uses a penalty which affects they value of coefficients of regression
  • Linear regression when independent variable are count data
    The Ys, on the other hand, are continuous and can assume any numerical value, either positive or negative Initially, my approach was to apply linear regression to model this relationship However, given the specific nature of the Xs as count variables, I've grown uncertain about the appropriateness of using linear regression
  • What do the residuals in a logistic regression mean?
    In answering this question John Christie suggested that the fit of logistic regression models should be assessed by evaluating the residuals I'm familiar with how to interpret residuals in OLS, t
  • What is the difference between logistic regression and neural networks . . .
    How do we explain the difference between logistic regression and neural network to an audience that have no background in statistics?
  • What is the effect of having correlated predictors in a multiple . . .
    The VIF is how much the variance of your regression coefficient is larger than it would otherwise have been if the variable had been completely uncorrelated with all the other variables in the model Note that the VIF is a multiplicative factor, if the variable in question is uncorrelated the VIF=1





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