Analisis régrèsi

Analisis régrèsi sajeroning statistika iku salah siji métodhe kanggo nemtokaké gayutan sebab-akibat antara siji variabel lan variabel(-variabel) liyané. Variabel "jalaran" karan kanthi warna-warna istilah: variabel panjelas, variabel eksplanatorik, variabel independen, utawa kanthi bébas, variabel X (amarga kerep digambaraké sajeroning grafik minangka absis, utawa sumbu X). Variabel sing kena akibat dikenal minangkka variabel yang kadayan, variabel dependen, variabel kaiket, utawa variabel Y. Kaloro variabel iki bisa dadi variabel acak (random), nanging variabel sing kadayan kudu tansah variabel acak.

Analisis régrèsi iku salah siji analisis sing paling populèr lan lumrah dianggo. Amèh kabèh babagan èlmu sing merlokaké analisis sebab-akibat mesthi ngenal analisis iki.

Pratélan pustaka

• William H. Kruskal and Judith M. Tanur, ed. (1978), "Linear Hypotheses," International Encyclopedia of Statistics. Free Press, v. 1,

Evan J. Williams, "I. Regression," pp. 523–41.

Julian C. Stanley, "II. Analysis of Variance," pp. 541–554.

• Lindley, D.V. (1987). "Regression and correlation analysis," New Palgrave: A Dictionary of Economics, v. 4, pp. 120–23.
• Birkes, David and Yadolah Dodge, Alternative Methods of Regression. ISBN 0-471-56881-3
• Chatfield, C. (1993) "Calculating Interval Forecasts," Journal of Business and Economic Statistics, 11. pp. 121–135.
• Corder, G.W. and Foreman, D.I. (2009).Nonparametric Statistics for Non-Statisticians: A Step-by-Step Approach Wiley, ISBN 978-0-470-45461-9
• Draper, N.R. and Smith, H. (1998).Applied Regression Analysis Wiley Series in Probability and Statistics
• Fox, J. (1997). Applied Regression Analysis, Linear Models and Related Methods. Sage
• Hardle, W., Applied Nonparametric Regression (1990), ISBN 0-521-42950-1
• Meade, N. and T. Islam (1995) "Prediction Intervals for Growth Curve Forecasts," Journal of Forecasting, 14, pp. 413–430.
• N. Cressie (1996) Change of Support and the Modiable Areal Unit Problem. Geographical Systems 3:159–180.
• A.S. Fotheringham, C. Brunsdon, and M. Charlton. (2002) Geographically weighted regression: the analysis of spatially varying relationships. Wiley.