并通过多变量方差分析其影响因素。
The affected factors were analyzed by multivariate variance analysis.
数据处理方法包括单因素多变量方差分析、多因素线性回归分析和t检验。
The data were treated with univariate and multivariate analysis of variance, multiple linear regression analysis and t test.
在深入学习更高级的技术(如多次回归或多变量方差分析)之前，对于简单线性回归的透彻理解将使您受益匪浅。
Before you plunge into learning more advanced techniques, like multiple regression or manova, you could benefit from having a solid understanding of simple linear regression.
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