No abstract

This paper adopts documentary data method, questionnaire method, interviewing method and mathematical statistics method and proceeds from the respect of the cognition in the innovation ability of an coach from the high-level professional tennis athletes, in order to research into an innovation ability characterization of an ideal coach in athletes’ sight as well as differences in understanding the innovation ability of an ideal coach from the different groups of athletes, such as the ones of different genders, ages, degrees of education and sports levels. Comparing the innovation ability of the current coaches with that of ideal coaches, this paper reveals similarities and differences of the innovation ability of the current coaches and the ideal ones, in the hope of affording complete, sufficient and scientific theory evidence to further improve training ability of professional tennis coaches, to promote the scientific tennis training, and to facilitate the fast growth of tennis competitiveness.

Refined oil is the base of national industrial, as a class of strategic commodities, it occupies an important position in national economy. In this paper, the elastic coefficient method, trend extrapolation and gray theory prediction model was adopted to forecast sales volume of refined oil based on an example, and each prediction model error was analyzed. Finally based on the three models, a combination forecasting model was established, which each models weight is determined by the relative weights of the error. The combination forecasting method makes error decrease and more accurate. Forecasting methods used in this paper can enhance oil sales volume forecast and improve the overall efficiency of sales system foundation.