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is provided as an overview of and topical guide to regression analysis:
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35:
techniques for learning about the relationship between one or more
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696:
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Overview of and topical guide to regression analysis
72:Non-statistical articles related to regression
708:
646:Autoregressive conditional heteroskedasticity
114:Basic statistical ideas related to regression
8:
715:
701:
693:
287:Numerical methods for linear least squares
641:Autoregressive integrated moving average
168:Linear regression based on least squares
356:Homoscedasticity and heteroscedasticity
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636:Autoregressive moving average model
501:Dependent and independent variables
506:Errors and residuals in statistics
466:Hannan–Quinn information criterion
83:Linear least squares (mathematics)
14:
813:Outlines of mathematics and logic
377:Diagnostics for regression models
335:Challenges to regression modeling
497:— relates to meaning of "linear"
792:Technology and applied sciences
293:Inference for regression models
461:Bayesian information criterion
434:Formal aids to model selection
1:
767:Natural and physical sciences
456:Akaike information criterion
319:Coefficient of determination
787:Society and social sciences
782:Religion and belief systems
383:Regression model validation
846:
621:Generalized additive model
548:Hierarchical linear models
532:Methods for dependent data
309:Lack-of-fit sum of squares
275:Cochrane–Orcutt estimation
730:
605:Errors-in-variables model
588:Other forms of regression
577:Semiparametric regression
571:Semiparametric regression
398:Variance inflation factor
226:Generalized linear models
220:Generalized linear models
184:Generalized least squares
93:Least absolute deviations
828:Statistics-related lists
724:Knowledge (XXG) outlines
560:Nonparametric regression
554:Nonparametric regression
516:Trend-stationary process
189:Simple linear regression
145:Explained sum of squares
88:Non-linear least squares
777:Philosophy and thinking
423:Durbin–Watson statistic
413:Partial regression plot
366:Non-normality of errors
140:Residual sum of squares
130:Correlation coefficient
120:Conditional expectation
673:Box–Cox transformation
610:Instrumental variables
179:Ordinary least squares
762:Mathematics and logic
663:Design of experiments
408:Partial residual plot
204:Polynomial regression
108:Cross-sectional study
45:independent variables
747:Geography and places
742:Culture and the arts
683:Analysis of variance
631:Moving average model
626:Autoregressive model
543:Random effects model
521:Cross-sectional data
388:Studentized residual
324:Multiple correlation
214:Nonlinear regression
209:Segmented regression
174:General linear model
150:Total sum of squares
823:Regression analysis
668:Data transformation
616:Quantile regression
594:Total least squares
565:Isotonic regression
231:Logistic regression
61:Regression analysis
37:dependent variables
28:Regression analysis
757:History and events
752:Health and fitness
270:Maximum likelihood
265:Poisson regression
253:Multinomial probit
43:) and one or more
800:
799:
735:General reference
600:Deming regression
483:Robust regression
477:Robust regression
351:Multicollinearity
236:Multinomial logit
135:Mean square error
66:Linear regression
55:Overview articles
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717:
710:
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688:Causal inference
678:Machine learning
582:Local regression
471:Cross validation
428:Condition number
329:Scheffé's method
199:Ridge regression
194:Trend estimation
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772:People and self
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440:Model selection
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393:Cook's distance
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341:Autocorrelation
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314:Confidence band
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346:Cointegration
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241:Ordered logit
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156:Visualization
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98:Curve fitting
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78:Least squares
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495:Linear model
446:
248:Probit model
48:
40:
26:
25:
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538:Mixed model
526:Time series
489:Terminology
361:Lack of fit
281:Computation
162:Scatterplot
125:Correlation
33:statistical
807:Categories
658:Prediction
612:regression
596:regression
511:Hat matrix
445:Mallows's
103:Smoothing
818:Outlines
652:See also
418:Leverage
371:Outliers
21:outline
403:DFFITS
304:t-test
299:F-test
51:).
809::
716:e
709:t
702:v
449:p
447:C
49:X
47:(
41:Y
39:(
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