This study firstly aims to evaluate the statistical analysis as a credible method in finding the significant reasons affecting the appearance of the pavement distress. The urban network of Sohag city in Egypt is considered as the case study where the pavement deformation is tested by the statistical analysis against different independent variables. The analysis results are compared with the results of other experimental studies. The visual pavement distresses survey summarizes as well as the statistical analysis results agreed with the experimental results in explaining the appearance and propagation of pavement deformation. This comparison is considered as a validation for the statistical analysis to be used in the pavement evaluation rather than conducting field and laboratory tests. Moreover, this agreement illustrates that the statistical analysis can be used in generating accurate prediction models. Secondly, a prediction model for raveling distress is derived after investigating the factors affecting in it by the statistical analysis. This model describes the propagation of raveling with time and traffic repetition in hot and dry climate zone