Editing Regression analysis (section)

==Further reading==
* [[William Kruskal|William H. Kruskal]] and [[Judith Tanur|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.
* [[D.V. Lindley|Lindley, D.V.]] (1987). "Regression and correlation analysis," [[New Palgrave: A Dictionary of Economics]], v. 4, pp.&nbsp;120–23.
* Birkes, David and [[Yadolah Dodge|Dodge, Y.]], ''Alternative Methods of Regression''. {{isbn|0-471-56881-3}}
* Chatfield, C. (1993) "[https://amstat.tandfonline.com/doi/abs/10.1080/07350015.1993.10509938 Calculating Interval Forecasts]," ''Journal of Business and Economic Statistics,'' '''11'''. pp.&nbsp;121–135.
* {{cite book
|title = Applied Regression Analysis
|edition = 3rd
|last1= Draper |first1=N.R. |last2=Smith |first2=H.
|publisher = John Wiley
|year = 1998
|isbn = 978-0-471-17082-2}}
* Fox, J. (1997).  ''Applied Regression Analysis, Linear Models and Related Methods.'' Sage
* Hardle, W., ''Applied Nonparametric Regression'' (1990), {{isbn|0-521-42950-1}}
* {{cite journal|doi=10.1002/for.3980140502|title=Prediction intervals for growth curve forecasts|journal=Journal of Forecasting|volume=14|issue=5|pages=413–430|year=1995|last1=Meade|first1=Nigel|last2=Islam|first2=Towhidul}}
* A. Sen, M. Srivastava, ''Regression Analysis &mdash; Theory, Methods, and Applications'', Springer-Verlag, Berlin, 2011 (4th printing).
* T. Strutz: ''Data Fitting and Uncertainty (A practical introduction to weighted least squares and beyond)''. Vieweg+Teubner, {{isbn|978-3-8348-1022-9}}.
* Stulp, Freek, and Olivier Sigaud. ''Many Regression Algorithms, One Unified Model: A Review.'' Neural Networks, vol. 69, Sept. 2015, pp.&nbsp;60–79. https://doi.org/10.1016/j.neunet.2015.05.005.
* Malakooti, B. (2013). [https://books.google.com/books?id=tvc8AgAAQBAJ&q=%22regression+analysis%22 Operations and Production Systems with Multiple Objectives]. John Wiley & Sons.
* {{cite journal |
doi=10.7717/peerj-cs.623|
title= The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation|
year=2021 |
last1= Chicco |
first1=Davide |
last2= Warrens |
first2=Matthijs J. |
first3=Giuseppe|
last3=Jurman|
journal= PeerJ Computer Science |
volume=7 |
issue=e623 |
pages=e623|
pmid= 34307865|
pmc= 8279135|
doi-access = free}}