One of the most important innovative concepts is the credit scoring. Today it can be interested in different sectors. Thus the improvement of credit scoring is increasing day by day as a strongest part of Risk Assessment Management. The credit scoring with the help of classification techniques provides to take easy and quick decisions in lending. However, no definite consensus has been reached with regard to the best method for credit scoring and in what conditions the methods performs best. Although a huge range of classification techniques has been used in this area, the logistic regression has been seen an important tool and used very widely in studies. This research aims to examine accuracy and bias properties in parameter estimation of the logistic regression,linear discriminant analysis, linear regression by using German Data which has different variables, data types, real basement and accurately results. Moreover, application of these significant statistical analyzes on German data is provided and the method accuracies are examine for new consumer elements by the software application. Finally, the book is the best display of this method for ratings based on the results ever.