Construction of a Factor Model Focused on the Reduction of Difficulties in Road Traffic

The article collected and structured data for regression analysis. The reasons for which cork is formed in the city of Krasnoyarsk were considered. Using the collected data, a primary histogram (not tested for emissions) was constructed. The following factors were identified as relevant and weak-influencing factors for the construction of the correlation table, this table helps to identify the superfluous influence on the formation of traffic jams. Taking into account the table, a new histogram was constructed and a correlation table was created, which allows to start regression analysis. At the beginning of the regression analysis regression statistics are used and the variance analysis is carried out, then the regression analysis is made directly and the regression results are summarized. Based on the summing up of the histogram, which takes into account all statistics and calculations, which reflects the predicted number of traffic jams and the real factors influencing the formation of traffic jams.