从表 1 可知， 自变量和因变量之间存在着较强的相关关系，因此适合做线

从表 1 可知， 自变量和因变量之间存在着较强的相关关系，因此适合做线性回归。 但同时也应看到，两个自变量之间也存在着较强的共线性。为了解决这个问题，本部分先采用一阶差分的方法。

結果 (英文) 1:

From Table 1, the independent variables and the dependent variable is a strong correlation exists between the relationship, so suitable for linear regression. But it also should be noted that two independent variables also exist between the strong collinearity. To solve this problem, this section uses a first-order difference method.

結果 (英文) 2:

From the table 1, variable and dependent variable exists between the strong correlation, therefore suitable for linear regression. But also should see, between the two variables are co linear strong. In order to solve this problem, the first part of the first-order difference method.

結果 (英文) 3:

Table 1 indicates that arguments and there is a strong correlation between the dependent variable and therefore suitable for linear regression. But at the same time we should also see, between two independent variables also have strong colinearity. In order to solve this problem, this part of the first-order difference methods are used.