由计算机的广泛应用带来的大量计算任务将导致能量消耗增高。计算机CPU承担了主要计算任务，因此，分 析CPU的服务能耗指标，准确找到影响能耗的重要因素能为面向绿色效能的服务选择提供依据。本文利用能耗监测仪采集 到的数据，构建了多元回归模型及单变量和多变量相关性分析，并通过拟合优度进行评估，实验表明，在利用马氏距离剔除利 群点后构建的多元回归模型能很好地拟合整体样本数据。

The widespread use of computers brings a large number of computational tasks, leading to the increasing energy consumption. CPU undertakes the main task of computing, so it is necessary to analyze the energy consumption index to search the important factors that have influence to energy consumption. It can provide the basis for the service selection of green efficiency. This paper uses the energy consumption monitor to collect the data, constructs multiple regression models and makes univariate and multivariate correlation analysis which uses the goodness of fit to evaluate the models. Experiments show that the multivariate model can well fit the whole sample data after excluding the outliers with Mahalanobis distance.