"We need to select the physical quantity factors that affect the 2m temperature by establishing regression models between numerous independent variables (pattern physical quantity factors) and the dependent variable (2m temperature). The biggest feature of the stepwise regression method is the "double check" of the factors. Its main idea is to introduce factors one by one, and the condition for introducing a factor is that its variance contribution is significant. When introducing a new factor, each old factor should be tested one by one, and factors with non-significant variance contributions should be eliminated until there are no new variables introduced or old variables removed, ensuring that all factors introduced in the regression model are significant (Figure 8). For specific details, please refer to the literature (T.Johnsson, 1992).

可以帮我把这段话翻译成英文么?我们需要通过建立众多个自变量模式物理量因子与因变量2m气温之间的回归模型来实现对2m气温起作用的物理量因子的挑选。逐步回归法中最大的特点是对因子进行双重检验。其主要思想是将因子一个个引入引入因子的条件是该因子的方差贡献显著。每引入一个新因子要对老因子逐个检验将方差贡献变为不显著的因子剔除直到没有新变量引入也没有旧变量删除从而保证引入回归模型中的所有因子都是显著的图8。

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