Harran Journal of Agricultural and Food Science, cilt.16, sa.2, ss.25-36, 2012 (Hakemli Dergi)
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.