论文部分内容阅读
用多元回归方法分析了白哺鸡竹的笋—幼竹生长与气象因子的相关性。“多对多”逐步回归分析表明,对笋—幼竹高生长起主导作用的因子是温度指标,对笋昼夜高生长差起主导作用的因子是大气相对湿度,降水对其生长的影响作用在时间上有滞后现象。用“一对多”线性回归给出了气象因子对笋—幼竹生长的线性回归模型。用多项式非线性回归分析表明,单个气象因子对笋高生长的作用效应是非线性的。
Multiple regression analysis was used to analyze the correlation between bamboo shoot growth and young bamboo growth and meteorological factors. The “many-to-many” stepwise regression analysis shows that the factor that plays a leading role in the growth of bamboo shoots-young bamboo is the temperature index, and the factor that plays a leading role in the growth of day-night high shoots is the relative humidity of the atmosphere. The effect of precipitation on its growth There is a lag in time. The linear regression model of meteorological factors on the growth of bamboo shoots and young bamboo was given by “one to many” linear regression. Polynomial nonlinear regression analysis showed that the effect of a single meteorological factor on shoot growth was nonlinear.