【摘要】 为了适应当前汽车运输企业的经营现状,通过建立燃油消耗统计模型,对燃油消耗量进行统计。以燃油消耗量为因变量,以影响燃油消耗的因素:周转量、客运量、车龄、驾驶员驾龄、平均车速、实载率、行驶里程作为自变量,建立多元线性回归模型。通过拟合优度检验、F检验,判断其线性相关性,再运用逐步回归法优化统计模型,从而实现在知道有限数据信息的情况下,预测出该企业当月的车辆燃油消耗总量。将企业调研的实际统计数据代入统计模型计算的燃油消耗量,与实际统计燃油消耗量比较接近,而且统计过程得到简化。结合统计模型的研究方法开发了相应的统计软件。更多还原

【Abstract】 In order to adapt to actuality of present automobile transport corporation,fuel consumption statistic model was conceived for statistic of fuel consumption.Taking fuel consumption as dependent variable,and taking affecting factors of fuel consumption including turnover,passenger carrying capacity,vehicle age,driver age,average speed,actual loading rate,and kilometers as independent variables,multiple linear regression model was constituted.By fit goodness testing,F testing,linear correlation estimation,and optimizing statistic model by stepwise regression,speculating on the total fuel consumption of the month was realized with limited data.Actual survey data of corporation were put into statistic model for calculating fuel consumption,the result is approximative comparing with actual statistic fuel consumption.The relevant statistics software corresponding to research method of statistic model was developed.更多还原