摘要
利用1999年和2000年西安市夏季逐日空调销售量和气象要素资料进行逐步回归,建立统计关系,分别给出了西安市夏季逐日空调销售量与气象条件的统计回归方程和预报方程。统计结果和回归曲线表明:每天的实际销售量与天气条件有密切的关系,尤其是对温度的变化最为敏感,与相对湿度、风、日照时数、降水也有一定的相关性。
A statistically regressive relationship between daily sales volume of air-conditioner and meteorological data collected from Xi'an in the summer of 1999 and 2000 has been established with a successive regression method. Then a regressive equation and a forecast equation for the air-conditioner sales volume and meteorological variables are given on the basis of previous analysis. The results of statistical analysis and the regression curves showed that the daily sales volume was much closely related to weather conditions, especially sensitive to temperature fluctuations, and had some correlation to relative humidity, wind, sunlight duration and precipitation.
出处
《杨凌职业技术学院学报》
2004年第1期21-23,共3页
Journal of Yangling Vocational & Technical College
关键词
西安市
空调销售量
气象条件
回归方程
预报方程
sales volume of air-conditioner
meteorological conditions
statistical relationship
forecast