Author(s)

Zhaoyang Qin

Corresponding Author

Zhaoyang Qin

ABSTRACT

As we all know, the log linear regression model is a model that the logarithm of the independent variables or dependent variables or both fit a linear relationship. In most cases, the log linear regression model is appropriate for multivariable rather than univariate analysis. Although the general linear regression is heard more often, the degree of fitting of log linear regression may be better to some extent. The model is widely used in plenty of fields of research from the past to present. In this paper, I will present parts of the applications of the model and compare if the model has good fitting degrees in some specific regions.

KEYWORDS

Log linear regression model, tree diameter, the coarse root biomass, leadcontaminated house dust, children’s blood-lead levels