问题如下：
Which of the following statements about positive serial correlation is most likely correct?
选项：
A.It will not affect the consistency and estimation of regression coefficients.
B.It will lead a higher standard errors of regression coefficients.
C.It will lead a smaller t-statistics of regression coefficients.
解释：
A is correct.
考点: Serial correlation.
解析: 本题考的是正序列相关的特征。正序列相关只会影响残值ε的波动，但对回归方程本身的精确度无影响，也不会影响系数的估计。但正序列相关会使标准误变小，造成t统计量变大。所以A的描述是正确的，B和C的描述是错误的。选择A。
老师好，请问为什么C选项不对呢？
比如这题，
If Tylor tests the null hypothesis which is no serial correlation in the regression residuals and the results shows that the Durbin-Watson statistic is 1.0165. And given the critical values at the 0.05 significance level for the Durbin-Watson statistic are Dl=1.35 and Du=1.49. Which of the followings is most likely correct?
就是1.0165小于1.35，所以是positive啊
