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This study takes Pearson correlation test, partial F test, and regression analysis to estimate the commission performance of 360 sales of the southern subsidiary of a life-insurance company in 2014. The independent variables include: premium, number of policies, ratio of active sales, the training-participation rate, job level, and gender, we analyze the effects on the commission performance. The results show that there exists significant correlations among all the independent variables and the commission performance. By partial F test, it says that the interaction between job level and other independent variables may effect the commission performance; however, it's not the case for gender. By regression analysis it tells that the commission performance of the managers is higher than sales. As the premium and the ratio of active sales increase, the commission performance will also increases, ceteris paribus; however, the number of policies and training-participation rate have negative impacts on the commission performance.
This study finds that premium, the ratio of active sales, and the managerial job level will all effect and increase the commission performance, our studied results may be used as the reference of establishing rewarding system for insurance company.