在分析工作中 ,经常遇到处理 2个变量之间关系的问题。比如分光光度法中吸光度与溶液浓度之间的关系 ,在这2个变量中 ,被测浓度我们称自变量 ,用 x表示 ;吸光度我们称因变量 ,用 y表示。因变量 y随自变量 x变化呈现规律性 ,为减小误差 ,可用一元线性回归方程 y=a+bx来处理这 In the analysis, we often encounter the problem of dealing with the relationship between the two variables. For example, the relationship between absorbance and solution concentration in spectrophotometry, in these two variables, the measured concentration we call the independent variable, with x said; absorbance we said dependent variable, with y said. The dependent variable y shows regularity with the change of the independent variable x. To reduce the error, the linear regression equation y = a + bx can be used to deal with this