Multiple linear regression analysis of socioeconomic factors.

**Significant.A multiple linear regression analysis was performed for each procedure (column 1) and three socioeconomic factors (column 2). Individual regression coefficients are identified (column 3), along with their respective 95% confidence intervals (column 4). The goodness of model fit (column 5) is the percent of the variation explained by the model. The P value (column 6) represents the significance of each regression model as a whole, incorporating education, income, and employment as variables. This model was significant in describing the relationship of the three socioeconomic variables and the prevalence of CABG and PTCA. No causal mechanism can be identified with any regression analysis technique.显著性分析：针对每项手术操作（列1）与三项社会经济因素（列2）开展多元线性回归分析。研究确定了各回归系数（列3）及其对应的95%置信区间（列4）。模型拟合优度（列5）为模型可解释的总变异百分比。P值（列6）代表以教育程度、收入水平与就业状况作为自变量的各回归模型的整体统计学显著性。本模型可有效描述三项社会经济变量与冠状动脉旁路移植术（Coronary Artery Bypass Grafting, CABG）及经皮冠状动脉腔内成形术（Percutaneous Transluminal Coronary Angioplasty, PTCA）患病率之间的相关性，且具有统计学显著性。但任何回归分析技术均无法确定其因果作用机制。