A Stepwise Logistic Regression Analysis: An application toward Poultry Farm Data in Johor

  • Authors

    • Siti Afiqah Muhamad Jamil
    • Mohd Asrul Affendi Abdullah
    • Kek Sie Long
    • Nur Fazilla Mohd Jupri
    • Mustafa Mamat
    2018-08-17
    https://doi.org/10.14419/ijet.v7i3.28.20968
  • Stepwise Logistic Regression Analysis, SPSS software, Akaike Information Criterion (AIC).

  • Abstract

    The aims of this study are to fit a logistic regression model towards the fly problem in a farm and to identify the variables that are associated with the fly problem in a poultry farm. By using SPSS software, this study used ‘FORWARD STEPWISE’ and ‘BACKWARD STEPWISE’ methods to perform the analysis. Compared to linear regression analysis, logistic regression does not require rigorous assumptions to be met. This study used Likelihood Ratio test, Omnibus test and Hosmer and Lemeshow test to validate and to test the fit of poultry farm data. Akaike Information Criterion (AIC) is calculated to observe the difference between the methods of stepwise used by SPSS software in this study. As a result, logistic regression is fit towards poultry farm data by a stepwise procedure. BACKWARD STEPWISE seems to be more suitable for conducting the stepwise method of analysis. Besides, variables that influence the problem of fly in a poultry are the wasps, distance and number of flies.

     

  • References

    1. [1] Arroyo, H.S (1998). “House fly, Musca domestica Linnaeus (Insecta: Diptera: Muscidae)†Journal of Food and Agriculture Science.

      [2] Whittingham, M.J., Stephens, P.A., Bradbury, R.B., & Freckleton, R.P. (2006). “Why do we still use stepwise modelling in ecology and behaviour?†Journal of Animal Ecology, 5(75), 1182-1189.

      [3] Loftin, K.M., Hopkins, J.D., & Corder, R. (2014). “Biology and Control of Flies in Poultry Facilities†Agriculture and Natural Resources.

      [4] Wuensch, K.L. (2014) “Binary logistic regression with SPSS†2015.

      [5] Zsak, L., Strother, K.O., & Kisary, J. (2008). “Partial genome sequence analysis of parvoviruses associated with enteric disease in poultry†Avian Pathology, 4(37), 435-441.

      [6] Kumara, T.K., Disney, R.H.L., Hassan, A.A., Flores, M., Hwa, T.S., Mohamed, Z. & Bhupinder, S. (2012). “Occurrence of oriental flies associated with indoor and outdoor human remains in the tropical climate of north Malaysia†Journal of Vector Ecology, 1(37), 62-68.

      [7] Jalaludin, S. (1992). “The development of poultry in Malaysia†Proceedings of the 6th Anim. Sci. Congr. of the Asian-Australian association of Anim. Prod. Soc, 4, 14-21.

      [8] Loh, T.C. (2004). “Livestock production and the feed industry in Malaysia†FAO Animal Production and Health Proceedings (FAO). FAO.

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  • How to Cite

    Afiqah Muhamad Jamil, S., Asrul Affendi Abdullah, M., Sie Long, K., Fazilla Mohd Jupri, N., & Mamat, M. (2018). A Stepwise Logistic Regression Analysis: An application toward Poultry Farm Data in Johor. International Journal of Engineering & Technology, 7(3.28), 68-71. https://doi.org/10.14419/ijet.v7i3.28.20968

    Received date: 2018-10-04

    Accepted date: 2018-10-04

    Published date: 2018-08-17