through the methods of multiple linear stepwise regressions, the main environment factors were found and multiple linear regression models among the transpiration rate and environment factors were set up 通過(guò)多元線性逐步回歸方法,得到了影響沙質(zhì)海岸蒸騰速率的主要環(huán)境因子,及其與土壤呼吸速率之間的多元回歸模型。
based on the annual data of chinese listed companies between 2002 and 2004, we set up a multiple linear regression model to study the influence of companies'capital structures on their product market strategies 摘要本文運(yùn)用多元回歸模型,利用中國(guó)2002~2004年的上市公司年報(bào)數(shù)據(jù),對(duì)企業(yè)資本結(jié)構(gòu)與產(chǎn)品市場(chǎng)戰(zhàn)略的關(guān)系進(jìn)行了回歸分析。
the analysis on an actual case shows that compared with both the conventional multiple linear regression model and the stepwise regression model, this model has the advantages of higher prediction precision and better generalization ability for application to the safety monitoring of earth-rockfill dam 實(shí)例分析表明,該模型與傳統(tǒng)的多元線性回歸模型和逐步回歸模型相比,具有預(yù)測(cè)精度高、泛化能力強(qiáng)等優(yōu)點(diǎn),對(duì)土石壩安全監(jiān)控具有實(shí)用價(jià)值。