The two main analysis models that other models build on are:​

The two main analysis models that other models often build on are:

1. Regression Analysis Model: This model is used to understand the relationship between dependent and independent variables. It's a statistical process for estimating the relationships among variables. It includes many techniques for modeling and analyzing several variables when the focus is on the relationship between a dependent variable and one or more independent variables.

2. Factor Analysis Model: This model is used to reduce a large number of variables into fewer factors. It's a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables called factors.

These two models form the basis for many other analysis models in statistics and data analysis.