Methods that can be used:

First, regression analysis, in practical problems, it is often encountered that several variables need to be considered at the same time.

Second, analysis of variance, in practical work, there are many factors that affect one thing, and people hope to observe the influence of various factors on the experimental results through experiments. Variance analysis is a mathematical statistical method to study whether the change of one or more factors has a significant impact on the observed values of experimental results, so as to find out better experimental conditions or production conditions.

Third, discriminant analysis, discriminant analysis is a statistical method used for classification.

Fourthly, cluster analysis, which is also a statistical method for classification.

5. Principal component analysis, which is a statistical analysis method to reduce the data dimension.