THE IMPORTANCE OF LOGISTIC REGRESSION IMPLEMENTATIONS IN THE TURKISH LIVESTOCK SECTOR AND LOGISTIC REGRESSION IMPLEMENTATIONS/FIELDS

Logistic regression analysis is one of the mostly preferred regression methods that can be implemented in modelling binary dependent variables. Logistic regression is a mathematical modelling approach used to define the relationship between such independent variables as X1, X2, …, Xn and Y binary dependent variable which is coded as 0 or 1 for two possible categories. The independent variables may be continuous, discrete, binary or a combination of them. In this paper, logistic regression models are researched. Maximum likelihood methods may be used to estimate the parameters of the logistic model. The interpretations of coefficients are made with odds rate values. In other words, in this paper, the logistic regression analysis has been reviewed that can define the relationship between the binary result variable and independent variables comprising of both continuous and discrete variables. Shortly, the applicability of logistic regression in the livestock has been researched.