一、问题的提出在森林资源调查中,为了提高工作效率,往往根据一个因子估计另一调查因子,这种方法称为回归估计。例如,利用目测蓄积估测实测蓄积,利用航空象片判读蓄积估测实测蓄积,利用角规测定蓄积估测样地实测蓄积等,这些都是回归估计。森林资源调查,它的特点是面积大,范围广,往往在一个总体,有几个人同时工作,那么能否用几人的所有资料建立一个回归方程进行回归估计呢?我们知道,由于调查队员的经历、技术水平的限制,通常各人的成对值变化规律不会完全相同,是有差异的,表现在回归系数b和回归常数a上。那么我们如何检验各人的变化规律的差异大小呢?即各个回归方程 First, the issue raised In the forest resources survey, in order to improve work efficiency, often based on a factor estimation of another survey factor, this method is called regression estimation. For example, the actual accumulation is estimated by visual accumulation, the actual accumulation is estimated by aerial photo interpretation, and the measured accumulation by the angle gauge is used as the regression estimation. Forest resources survey, which is characterized by a large area, a wide range, often in a general, a few people work at the same time, then how many people can use all the data to establish a regression equation for regression estimation? We know that due to the investigation team members Experience, the technical level of the restrictions, usually each pair of values ​​change law will not be exactly the same, there are differences, manifested in the regression coefficient b and regression constant a. So how do we test the difference between the changes in the size of each person? That the various regression equations