浅析线性回归分析法在农业生产中的应用  

Application of Linear Regression Analysis in Agricultural Production

作　　者：李晶 Li Jing(College of Mathematics and Statistics,Shanxi Datong University,Datong 037009,Shanxi,China)

机构地区：[1]山西大同大学数学与统计学院,山西大同037009

出　　处：《农业技术与装备》2021年第1期104-105,107,共3页Agricultural Technology & Equipment

摘　　要：农作物在实际生长的过程中会受到多方面因素的影响,很大程度上决定了农作物生产产量,线性回归分析法作为分析多个自变量与因变量之间关系的模型,能够分析出农作物生长过程中的各个因素与产量之间的联系。文章以小麦种植为例,采用线性回归分析法分析温度、光照影响因素与小麦产量之间的线性关系,为促进农业种植的科学化、合理化管理提供依据。Crops are affected by many factors in the actual growth process,which largely determines the production yield of crops.Linear regression analysis is used as a model to analyze the relationship between multiple independent variables and dependent variables,which can analyze the growth process of crops.The relationship between the various factors in and output.Taking wheat planting as an example,this paper uses linear regression analysis to analyze the linear relationship between temperature and light influencing factors and wheat yield,which provides a basis for promoting scientific and rational management of agricultural planting.

关 键 词：线性回归分析 农业种植 农业生产 

分 类 号：F326.11[经济管理—产业经济]