在对病虫害的发生情况作数理统计预报时,往往要确定一对变数(x、y)是否具有密切的线性相关关系。通常比较可靠的方法是计算二者的相关系数(rxy),并作显著性测定,当确证二者相关关系显著时,以自变数(x)作为预报因子,即可组建线性回归方程((?)=a+bx)。但是相关系数和回归系数的计算比较复杂, When making statistical forecast on the occurrence of pests and diseases, it is often necessary to determine whether a pair of variables (x, y) has a close linear correlation. Generally, a more reliable method is to calculate the correlation coefficient (rxy) between the two and make a significant determination. When the correlation between the two is significant, use the independent variable (x) as the predictor to establish the linear regression equation (? ) = a + bx). However, the calculation of correlation coefficient and regression coefficient is complicated,