仿照线性相关系数的计算方法，定义一种多组之间的相关系数的计算方法，透过这种方法得出的结果的情况对课程成绩进行关联分析。用matlab对数据进行处理计算，分别得出基础物理课程或热学与该专业其他专业必修课程之间的线性相关系数，并在此之上得出多组之间相关系数。得出相关系数后，根据相关系数的特点，对课程成绩之间的关联进行推测和初步论断。可以发现，在物理、化学、生物这三个院系中，凡是与基础物理（热学）课程具有较强的线性相关系数性的学科，都会出现比较大的两极分化，可以初步判断，相关系数较大的几门课程或许需要学生具备一些共有的能力，并且这几门课程对这种能力的需求度很高，拥有这种能力，便能取得较好的成绩，没有拥有取得的成绩将会比较低。该能力的缺失和获得，使得两极分化变得尤为显著。

Following the method of calculating the linear correlation coefficient, a method of calculating the correlation coefficient among multiple groups is defined, and the results obtained by this method are correlated with the course scores. Using matlab to process and calculate the data, the linear correlation coefficients between basic physics courses or thermal courses and other compulsory courses of the specialty are obtained, and on this basis, the correlation coefficients among groups are obtained. After getting the correlation coefficient, according to the characteristics of the correlation coefficient, we can speculate and make preliminary judgments on the correlation between the course scores. It can be found that in the three departments of physics, chemistry and biology, there is a strong linear correlation coefficient with the basic physics (heat) curriculum.