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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Why are regression problems called regression problems? I was just wondering why regression problems are called "regression" problems What is the story behind the name? One definition for regression: "Relapse to a less perfect or developed state "
regression - What does it mean to regress a variable against another . . . Those words connote causality, but regression can work the other way round too (use Y to predict X) The independent dependent variable language merely specifies how one thing depends on the other Generally speaking it makes more sense to use correlation rather than regression if there is no causal relationship
regression - When is R squared negative? - Cross Validated Also, for OLS regression, R^2 is the squared correlation between the predicted and the observed values Hence, it must be non-negative For simple OLS regression with one predictor, this is equivalent to the squared correlation between the predictor and the dependent variable -- again, this must be non-negative
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
How should outliers be dealt with in linear regression analysis . . . What statistical tests or rules of thumb can be used as a basis for excluding outliers in linear regression analysis? Are there any special considerations for multilinear regression?
regression - Difference between forecast and prediction . . . - Cross . . . I was wondering what difference and relation are between forecast and prediction? Especially in time series and regression? For example, am I correct that: In time series, forecasting seems to mea
regression - Interpreting the residuals vs. fitted values plot for . . . Consider the following figure from Faraway's Linear Models with R (2005, p 59) The first plot seems to indicate that the residuals and the fitted values are uncorrelated, as they should be in a
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
When conducting multiple regression, when should you center your . . . In some literature, I have read that a regression with multiple explanatory variables, if in different units, needed to be standardized (Standardizing consists in subtracting the mean and dividin