The correlation coefficients between them all exceed 0.95, indicating that there is a cross-overlap relationship between these indicators, so it is considered that these indicators have significance in principal component analysis.The correlation coefficients between all exceed 0.95, indicating that there is a cross-overlap relationship between these indicators. It is therefore assumed that these indicators are important for the main component analysis.The correlation coefficient between these indicators is more than 0.95, which indicates that there is an overlapping relationship between these indicators, so these indicators are considered to be related to the analysis of the main components.