 An illustration of logistic regression technique: a case of processed food sectorRajneesh Mahajan, Suresh Garg and P.B. Sharma International Journal of Business Excellence, 2014, vol. 7, issue 5, 659-676 Abstract: The effectiveness of logistic regression had been understood by many authors. A special attention is paid by authors to write section on multivariate statistics in books. The books have explained the theoretical method of predicting the dichotomous dependent variable from a set of binary explanatory variables and their relationship is not linear but interacts with each other. The logistic regression is free from various restrictive assumptions as required in case of ordinary regression or least square regression. The objective of the current research paper is to illustrate how effective is the logistic regression applied in processed food supply chain management. A primary survey was conducted and 252 responses were gathered to conduct the research. A complete step by step process of logistic regression is explained in the current paper. The results of paper confirm that logistic regression is an effective tool for research and it can be applied to various other sectors such as human resource management, etc. Keywords: logistic regression; processed food sector; primary research; processed foods; supply chain management; SCM; food supply chains; India. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbexc:v:7:y:2014:i:5:p:659-676 Access Statistics for this article More articles in International Journal of Business Excellence from Inderscience Enterprises Ltd |
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