We compared the differences of the risk factors between these two groups, and analyzed them by simple correlation and multiple stepwise regressions.
比较两组间相关危险因素的差别，并对这些危险因素进行单因素相关分析和多元逐步线性回归分析。
After calculating the statistical information of curves as matching features, we can evaluate the coarse affine transformation parameters using simple correlation measure.
再通过计算曲线的统计特性作为图像间待匹配特征，并由信号相关的度量方法粗估计出图像间全局仿射变换参数。
Simple correlation analysis was adopted for two variables.
两个变量之间的相关性用简单相关分析。
Simple correlation, multiple regression and main - element analysis based on the results of 17 amino acids and taste of green tea were carried out by computer.
对绿茶17种氨基酸与滋味进行了简单相关、多元逐步回归和主成分分析。
Simple correlation analysis indicated that the severity of the coronary artery disease was significantly correlated with the TG, TC, HDL-C, LDL-C and the body mass index(P<0.01 all).
简单直线相关分析表明，甘油三酯（TG）、总胆固醇（TC）、高密度脂蛋白胆固醇（HDL-C）、低密度脂蛋白胆固醇（LDL-C）、体重指数等与冠状动脉病变严重程度显著相关（P均<0.01）。
Simple correlation analysis indicated that the severity of the coronary artery disease was significantly correlated with the TG, TC, HDL-C, LDL-C and the body mass index(P<0.01 all).
简单直线相关分析表明，甘油三酯（TG）、总胆固醇（TC）、高密度脂蛋白胆固醇（HDL-C）、低密度脂蛋白胆固醇（LDL-C）、体重指数等与冠状动脉病变严重程度显著相关（P均<0.01）。
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