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Applications of Modeling and Statistical Regression Techniques in Research

Author Affiliations

  • 1Department of AEM, University of Swaziland, Swaziland, Luyengo M205, SWAZILAND
  • 2Department of AEM, University of Swaziland, Swaziland, Luyengo M205, SWAZILAND

Res. J. Mathematical & Statistical Sci., Volume 1, Issue (6), Pages 1-6, July,12 (2013)


Applied statistics in research have an important role to play in the collection, compilation, analysis and interpretation of the data. In view of the day to day rapid changes in the research spectrum, the scenario is becoming interesting for a researcher. A Model is defined as abstraction of real situations, which aim to give the empirical content to relationships of variable and their interpretation. Modeling techniques are very common in basic as well as multidisciplinary research. This paper discusses the modeling and regression techniques for specific circumstances. Regression analysis technique explains the importance of variables and amount of change in exogenous variables if explanatory variables change with one unit. In this paper also describes the multiple and limited dependent variables especially logistic regression


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