Application and Research based on ANOVA and Logistic Regression Models

Abstract

The Silk Road was a passage for cultural exchanges between China and the West in ancient times, of which glass was valuable material evidence of early trade exchanges, and China's early glass also led to different chemical compositions after absorbing some foreign technologies. For example, nowadays, most glass cultural relics are divided into two categories, and the identification, analysis and classification of them and similar problems are also the direction that needs to be studied. In view of such problems, we propose to solve such problems by studying one-way ANOVA and binary classification logistic regression model algorithm, in which one-way ANOVA is a significant test of the mean difference between two or more samples (i.e. factors), that is, it performs certain screening and testing on the relevant data of the required classification identification, and then completes the classification and identification of the results of the screening test by the 0-1 variable and the dependent variable of the two-way logistic regression model. The test of the result prediction by extracting the differential data obtained by the former, that is, its sensitivity analysis, can confirm the accuracy and effectiveness of the two model algorithms in this regard.