求翻译：以上方程中， 和PRESET分别代表残差标准差和RESET检验的p值。从模型的拟合度来说， 值分别为0.2237和0.3581，两个模型拟合的效果都不是很理想。进一步进行RESET检验，检验的结果是其p值分别为0.491和0.26，都是比较大的，这表明不存在模型误设的问题。下面我们将进一步进行非线性检验和拟合，了解泰国经济增长与金融发展的关系是否是非线性关系，是否适合使用LSTR1模型或者LSTR2模型进行拟合。是什么意思？

The above equations, and represent the residual standard deviation PRESET and RESET test p-value. Goodness of fit from the model, the values ​​were 0.2237 and 0.3581, the effect of fitting the two models are not very satisfactory. Further RESET test, the test result is a p-value of 0.491 and 0.26, r

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In above equation, represents the residual error standard deviation and RESET separately with PRESET the examination p value.From the model fitting, the value respectively is 0.2237 and 0.3581, two model fitting effect is all very ideal.Further carries on the RESET examination, the examination resul

In the above equation, and PRESET representing the residual standard deviation and RESET test p values. From the model of goodness, and 0.2237, respectively, two model fitting effects are not very satisfactory. Further RESET test, the test results is 0.491 and 0.26 respectively p value, are relative

In the above equation, and PRESET representing the residual standard deviation and RESET test p values. From the model of goodness, and 0.2237, respectively, two model fitting effects are not very satisfactory. Further RESET test, the test results is 0.491 and 0.26 respectively p value, are relative