In this paper, regression analysis (RA) was applied for modeling the CO2 emissions of Turkey. Real gross domestic product (GDP), total and urban populations and energy consumption were considered as economic and demographic variables. The developed model was tested using a test data set which were not utilized during building of the model. Additionally, the developed regression model was verified using various statistical approaches. The result of regression analysis was also used to determine the significant variables affecting the CO2 emissions. Furthermore, the performance of derived model was measured for showing the accuracy levels in predicting the CO2 emissions.