Urban Population Growth Model Based on SPSS Regression Analysis

According to the actual situation and the characteristics of Beijing's population growth, the author sums up four major factors for the rapid population growth which are higher living standards, a large movement population, more jobs, high levels of education and culture. And then four factors correlation are tested by using the SPSS software, the correlation is firstly detected in the absence of these factors in the case of control variables. Validation results for the correlation between these factors belong to a very strong correlation and significance which are 0.05 or less, namely interrelatedness error rate must be below 5% between the standard of living, the amount of movement population, jobs, educational and cultural level and the total number of Beijing population. Then the total Beijing population is defined as the control variables, the remaining four factors related variables. Although it has some poor correlation factors, its relevance is small, the error rate is high. In addition the correlation with the year's other factors combined with the data, we can get people's living standards, movement population, jobs, educational and cultural level and the total population is still highly relevant and significant still 0.05 or so. Ultimately it's proved that people's living standards, movement population, jobs, educational and cultural level are indeed the important four factors which cause the rapid population growth in Beijing. Finally, the model is evaluated, considering its usefulness. Suggestions and comments are gotten for control Beijing population growth.