Abstract
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.
Highlights
Regression methods have been an integral part of any analysis of data related to the description of the relationship between a response variable and one or more explanatory variables
Logistic regression model is a form of regression which is used when the dependent variable (Y) is dichotomous and qualitative values i.e., 2 levels e.g., with or without customer card, etc., and the independent variable (X s) can be numerical, categorical or mixed
The logistic regression model has the same form of the regression model, which is used when the dependent https://rajpub.com/indx.php/jam variable Y is qualitative with two values or categorical with more than two values and the independent variables can be quantitative, qualitative or mix
Summary
Regression methods have been an integral part of any analysis of data related to the description of the relationship between a response variable and one or more explanatory variables. Logistic regression model is a form of regression which is used when the dependent variable (Y) is dichotomous (binary) and qualitative values i.e., 2 levels e.g., with or without customer card, etc., and the independent variable (X s) can be numerical, categorical or mixed. This technique is applied in different research area, in the medicine (e.g., Antonogeorgos G. et al, 2009), socio-logical sciences (e.g., HL Chuang, 1997) and in the education (state graduation results) (e.g., Sadri Alija, et al, 2011, Muca M., et al, 2013).
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