A study related with multivariate logistic regression analysis techniques on the determination of factors affecting smoking using by people of Turkish data

In this study the simple and multiple logistic regression model have been defined. To find an estimated model with enter method, it has been explained how to estimate the regression coefficients of the models. Hosmer-Lemeshow test is used to to check whether the simplifier model fits the data or not. Classification table has been created. Smoking or non-smoking was taken as dependent variable in this study. Since it is actually a categorical variable, we have been applied binary logistic regression analysis. Collected data has been analyzed in SPSS 25. The objective of this study is to identify and using binary logistic regression explore the factors affecting smoking or non-smoking. Accordingly, 11 factors (determinants) which had already been identified by researchers were taken as independent variable in our work. According to collected data and results of analysis, the number of 1 determinants considered to be important has been reduced to 6 in this study. These 6 factors have been determined as important for smoking or non-smoking. Keywords: Logistic Regression, SPSS, Smoking ODDS.