Knowledge (XXG)

Outline of regression analysis

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is provided as an overview of and topical guide to regression analysis:
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techniques for learning about the relationship between one or more
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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 7: 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 835: 717: 710: 703: 694: 688:Causal inference 678:Machine learning 582:Local regression 471:Cross validation 428:Condition number 329:ScheffĂ©'s method 199:Ridge regression 194:Trend estimation 845: 844: 838: 837: 836: 834: 833: 832: 803: 802: 801: 796: 772:People and self 726: 721: 654: 590: 573: 556: 534: 491: 479: 450: 440:Model selection 436: 393:Cook's distance 379: 341:Autocorrelation 337: 314:Confidence band 295: 283: 222: 170: 158: 116: 74: 57: 31:– use of 17: 12: 11: 5: 843: 842: 839: 831: 830: 825: 820: 815: 805: 804: 798: 797: 795: 794: 789: 784: 779: 774: 769: 764: 759: 754: 749: 744: 738: 737: 731: 728: 727: 722: 720: 719: 712: 705: 697: 691: 690: 685: 680: 675: 670: 665: 660: 653: 650: 649: 648: 643: 638: 633: 628: 623: 618: 613: 607: 602: 597: 589: 586: 585: 584: 579: 572: 569: 568: 567: 562: 555: 552: 551: 550: 545: 540: 533: 530: 529: 528: 523: 518: 513: 508: 503: 498: 490: 487: 486: 485: 478: 475: 474: 473: 468: 463: 458: 453: 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squares 76: 75: 71: 67: 64: 62: 59: 58: 54: 52: 50: 46: 42: 38: 34: 30: 29: 24: 22: 495:Linear model 446: 248:Probit model 48: 40: 26: 25: 18: 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:(

Index

outline
Regression analysis
statistical
dependent variables
independent variables
Regression analysis
Linear regression
Least squares
Linear least squares (mathematics)
Non-linear least squares
Least absolute deviations
Curve fitting
Smoothing
Cross-sectional study
Conditional expectation
Correlation
Correlation coefficient
Mean square error
Residual sum of squares
Explained sum of squares
Total sum of squares
Scatterplot
General linear model
Ordinary least squares
Generalized least squares
Simple linear regression
Trend estimation
Ridge regression
Polynomial regression
Segmented regression

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