Multicollinearity in regression analysis: effects, detection and methods of minimising / Azmi Abdul Latiff

Abdul Latiff, Azmi (1982) Multicollinearity in regression analysis: effects, detection and methods of minimising / Azmi Abdul Latiff. [Research Reports] (Unpublished)

Abstract

The general purpose of this paper is to examine the effects of multicollinearity in regression analysis, explore ways of detecting and present the methods of minimising these effects.

Metadata

Item Type:	Research Reports
Creators:	Creators Email / ID Num. Abdul Latiff, Azmi UNSPECIFIED
Contributors:	Contribution Name Email / ID Num. Advisor Aripin, Rasimah UNSPECIFIED
Divisions:	Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Keywords:	Analysis, Effects, Detection,
Date:	1982
URI:	https://ir.uitm.edu.my/id/eprint/72086