Abstract
In this paper, Spass is used to draw the scatter plot between the chemical component content, and then the Shapiro Verk test (Shapiro-Wilk test) is used to determine whether the sample follows a normal distribution. The Spearman correlation coefficient (Spearman correlation coefficient) model was then established to infer the correlation between the chemical components of the glass sample. At the same time, the chemical composition associations of different categories of glass were analyzed. This paper predicts the content of chemical composition of different types of glass based on rich data, refine, classification and use gradual regression model, establish logistic regression model and classify unknown samples; establish Spearman correlation coefficient model to obtain the correlation of different types of glass, and then analyze the difference of the correlation relations, making the results more significant and reliable.
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