Journal of Chemistry and Chemical Research

The surface characteristics and chemical composition content of ancient glass products are analyzed and identified. The given data are preprocessed, and a relevant statistical model is established based on multiple linear regression to statistically analyze whether there are weathering chemical composition rules on the surface of ancient glass. Using the processed data, complete the Spearman rank correlation between the surface characteristics of ancient glass and whether it is differentiated, and obtain the correlation coefficient, among which the correlation coefficient of glass type is the highest, and then use the chi-square independence test to verify that the conclusion is correct, and obtain the glass surface There is a moderate degree of variability in character and whether or not it is weathered. Using the independent sample T calibration to obtain the contents of sodium oxide, potassium oxide, copper oxide, lead oxide and sulfur dioxide is the key to the analysis and statistics of chemical composition with or without weathering.

Spearman rank correlation, linear regression, ancient glassware