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相关系数、回归系数、决定系数和通径系数等等,是在相关分析中常见的四个统计量。在农业试验研究中,相关测定的应用较为普遍,但相关测定仅是分析了两个性状之间的相互关系,而不能了解其中的相关原因和效应大小。通径系数分析可以使相关系数分解为直接作用和间接作用的各个组成部份。通径分析是遗传育种工作者研究变量间因果关系的有力工具。
Correlation coefficient, regression coefficient, decision coefficient and path coefficient, etc., are the four statistics common in the correlation analysis. In agricultural experiment and research, the application of relative measurement is more common, but the correlation analysis only analyzes the correlation between the two traits, but can not understand the related causes and effect size. Path coefficient analysis allows the correlation coefficient to be broken down into direct and indirect components. Path analysis is a powerful tool for genetic breeding workers to study the causal relationship between variables.