摘要
多元线性回归是处理变量与变量之间统计相关关系的一种数理统计方法,影响因子越多,越能体现它的优势,方法简单,精度较高。水稻的产量受到多种因素的影响,利用多元线性回归方法研究了水稻产量与其成熟期的株高、株径、叶长和叶宽之间的关系。结果表明,4个生理参数与水稻产量之间的回归关系明显,由此建立了水稻产量预测模型,为以后在水稻收割之前预测其产量提供了方便。
Multiple linear regression method is a mathematical statistic method to deal with the statistical relationship between varia- bles. The more impact factor, the more advantages it can reflect. There are many factors affecting the rice yield. This paper studies the relationship among the rice yield and the plant height, the plant diameter, the leaf length and the leaf width of the yellow ripeness stage by using the multiple linear regression method. The results show that the regression relation among four physiological parameters and the rice yield is obvious. Then the yield forecast model is established in the end.
出处
《节水灌溉》
北大核心
2012年第12期37-39,42,共4页
Water Saving Irrigation
基金
国家自然科学基金项目(41072171)
关键词
多元线性回归
水稻生理参数
水稻产量预测模型
multiple linear regression
rice physiological parameters
rice yield forecast model
