以年龄、身高、FVC为自变量，在IBM-PC／XT计算机上用多元逐步回归法建立呼气和吸气阻力的回归方程。
The regression equations of expiratory and inspiratory resistances were built with multiple stepwise regression analysis on the IBM PC/XT computer with age, height and FVC as independent variables.
该回归方程在自变量的回归范围内适用于丙烯酸与十二醇、十四醇、十六醇酯化转化率的预测和控制上。
It is possible to predict and controll the conversion rate of esterifications such as acrylic acid with dodecanol, tetradecanol and hexadecanol by this equation.
以遥感本底值为因变量和所筛选的评价指标为自变量建立多元线性回归方程。
In each index type, there was an index was selected as the evaluation index for its correlation variables was the biggest.
本研究采用自变量逐步进入回归方程的方法。
The research utilized a kind of method that gradually brought the independent variables into regression equation.
研究表明，本文建立的各分位数回归方程均能较好地解释自变量与应变量的关系（P<0.05）。
The study indicated that the median regression equations based on HSI can be used to explain the relationships between variables and results(P<0.05).
研究表明，本文建立的各分位数回归方程均能较好地解释自变量与应变量的关系（P<0.05）。
The study indicated that the median regression equations based on HSI can be used to explain the relationships between variables and results(P<0.05).
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