Logistic Regression Analysis Summarized And Applied Research

What linear regression model acquires is quantitative variable instead of quali-tative variable as dependent variable. However, it is very common that qualitativevariable plays the role of dependent variable in many practical problems. Logisticregression analysis, Probit analysis, di?erentiate analysis, log-linear model etc. arethe statistical methods which are used to dispose classification dependent variable.Currently, logistic regression analysis is the most common method which is used todispose classification dependent variable. Logistic regression model is a diverse anal-ysis. This model can analyze and forecast discretely dependent variable accordingto single or more independent variables which are continuous or discrete.In this paper, we respectively introduce logistic regression model, the classifi-cation of logistic regression model, and the parameter estimation. We analyze thedata to evaluate models and infer regression coe?cients using the SAS. We obtaincommendably prospective consequence.