基于线性回归模型的草莓体积及质量的预测

Prediction of a Strawberry s Volume and Mass by Linear Regression

对某一品种草莓的体积及质量分别进行了一元及多元线性回归,并将回归模型预测值与实测值进行了比较,得出一元线性回归模型、多元线性回归模型的草莓体积预测值与实测值比较的平均相对误差分别为5.45%、4.01%,一元线性回归模型、多元线性回归模型的草莓质量预测值与实测值比较的平均相对误差分别为4.80%、3.46%,结果表明多元线性回归模型预测效果优于一元线性回归模型.

One-dimensional and multi-dimensional linear regressions are used to predict the volume and mass of a kind of strawberry,and the regression models are compared with the measured values.The results show that the average relative errors of a strawberry s volume and mass predicted and measured by one-dimensional linear regression and by multi-dimensional linear regression are 5.45%and 4.01%,and 4.80%and 3.46%,respectively.The prediction effect of multi-dimensional linear regression is better than that of one-dimensional.