Multiple linear regression approach to analysis of variance
Author
Source
Journal of Science and Technology
Issue
Vol. 4, Issue 2 (31 Dec. 2003), pp.28-36, 9 p.
Publisher
Sudan University of Science and Technology Deanship of Scientific Research
Publication Date
2003-12-31
Country of Publication
Sudan
No. of Pages
9
Main Subjects
Abstract EN
This paper deals with analysis of varieance (ANOVA) as a special case of multiple linear regression analysis approach when categorical independent variables take values "0" or "1" are used.
Numerical example is used to show that the two approaches lead to identical results, but the regression analysis convergence to the results without any additional step such as Duncan test as in ANOVA technique
American Psychological Association (APA)
Ibrahim, Bassam Yunus. 2003. Multiple linear regression approach to analysis of variance. Journal of Science and Technology،Vol. 4, no. 2, pp.28-36.
https://search.emarefa.net/detail/BIM-391621
Modern Language Association (MLA)
Ibrahim, Bassam Yunus. Multiple linear regression approach to analysis of variance. Journal of Science and Technology Vol. 4, no. 2 (2003), pp.28-36.
https://search.emarefa.net/detail/BIM-391621
American Medical Association (AMA)
Ibrahim, Bassam Yunus. Multiple linear regression approach to analysis of variance. Journal of Science and Technology. 2003. Vol. 4, no. 2, pp.28-36.
https://search.emarefa.net/detail/BIM-391621
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 36
Record ID
BIM-391621
