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MULTINOMIAL LOGISTIC REGRESSION: USAGE …
Quantitative Methods Inquires 288 MULTINOMIAL LOGISTIC regression : USAGE AND APPLICATION IN RISK analysis Anass BAYAGA School of Initial Teacher Education (SITE), Faculty of Education, University of Fort Hare, South Africa E-mail: Abstract: The objective of the article was to explore the USAGE of MULTINOMIAL LOGISTIC regression (MLR) in risk analysis . In this regard, performing MLR on risk analysis data corrected for the non-linear nature of binary response and did address the violation of equal variance and normality assumptions. Additionally, use of maximum likelihood (-2log) estimation provided a means of working with binary response data. The relationship of independent and dependent variables was also addressed. The data used included a cohort of hundred risk analyst of a historically black South African University.
Quantitative Methods Inquires 288 MULTINOMIAL LOGISTIC REGRESSION: USAGE AND APPLICATION IN RISK ANALYSIS Anass BAYAGA School of Initial Teacher Education (SITE), Faculty of Education,
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