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森林调查规划工作广泛地应用着一元线性回归方法。其应用前提是因变量Y和自变量X具备线性关系。就是说,取值范围在-1～+1之间的相关系数r的绝对值必须大到一定程度,即相关系数要显著。否则配回归直线就没有甚么意义。如何检验相关系数的显著性呢?让我们以一个实例说明(这种方法,一般的数理统计书上都有介绍)。在随机抽取的20个地面点上同时做角规和
Forest survey planning work widely applied a linear regression method. The premise of its application is that the dependent variable Y and the independent variable X have a linear relationship. In other words, the absolute value of the correlation coefficient r in the range of -1 to + 1 must be large enough that the correlation coefficient is significant. Otherwise, return to straight line with no significance. How to test the significance of the correlation coefficient? Let us take an example (this method, the general mathematical statistics are introduced). In 20 randomly selected ground points at the same time do angle gauge and