Implementation of the Logistic Regression Model and its Applications
DOI:
https://doi.org/10.24297/jam.v18i.8557Keywords:
Logistic Regression, Chances, Binary Data AnalysisAbstract
The purpose of an analysis using this method is the same as that of any technique in constructing models in statistics, namely to find the best and most reasonable model to describe the relationship between a result variable and a set of variables independent. We are interested in how the costs affect them and if a customer has a travel card.
Credit card customers are shown to be 6 times more likely to use it regardless of the cost they make.
It is also shown that a customer is more likely to use a travel card when costs increase Through logistic regression, which gives the probability that a result is an exponential function of the independent variables, we will see how through our data we will come to very important conclusions.
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Bewick V, Cheek L., Ball J: Statistics review 8: Qualitative data–tests of association. Crit Care 2003, 8:46-53
Chao-Ying Joanne Peng and Tak-Shing Harry So, (2002). Logistic regression Analysis and Reporting: A Primer. Understanding Statistics, l(1), 31-70. Lawrence ErlbaumAssociates, Inc
D.W. Hosmer, S. Lemeshow (1989). Applied Logistic Regression. Willey, New York, .
George Antonogeorgos, Demosthenos B. Panagiotakos, Kostas N. Priftis and Anastasia Tzonou, (2009). Logistic Regression and Linear Discriminat Analysis in Evaluating Factors Associated ëith Asthma Prevalence among 10- to 12-Years –Old Children: Divergence and Similaritity of the Two Statistical Methods. Hindawi Publishing Corporation, International Journal of Pediatrics.
Muça M., PUKA Ll., BANI K, SHAKAJ F. (2013) “Logistic Regression Analysis: A Model to Predict the Entrance Probability in Higher Education”. “1st International Western Balkans Conference of Mathematical Sciences – IWBCMS-2013”, në Elbasan/ALBANIA PROCEEDINGS
Sadri Alija, Lazim Kamberi and Llukan Puka, (2011). Logistic regressions and an application in teaching practice assessment. In AKTET, Journal of Institute Alb-Shkenca. Volume IV, 8.
‘Multivariate data analysis’---Joseph F. Hair, Barry J. Babin, Rolph E. Anderson, William C. Black, ISBN: 0-6952-2541-4
‘Applied multivariate statistical analysis (sixth edition)’---Richard A. Johnson & Dean W. Wichern, 0-13-187715-1
‘Logistic regression and discriminant analysis’---Gillez Stoltz, 2002, ISBN: 0-2156-2155-1
‘Statistics_Understanding regression analysis’---Apelt Stome, 2000, ISBN: 0-1689-7485-3
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