The data simulation in different manners, regression of multiple variables, and prediction of experimental data can be achieved by using of this software.
结果表明，软件可以实现数据的不同方式拟合、多变量数据回归和未知实验数据点预测。
Results: Five independent variables had been put into regression equation by multiple regression analysis, which were ADL score, stroke attack time, marriage, carer and SDS score.
结果：经多元逐步回归分析，进入回归方程的变量依次为日常生活能力量表评分、卒中次数、婚姻状况、陪护情况、抑郁自评量表评分。
The aim of multiple regression analysis is to determine regression equations of relative variables, in doing so, We can estimate numeral value of dependent variable.
多元回归分析的目的是确定有关变量间的回归方程，从而估计因变量的数值。
Initial in-situ stress field is analyzed with multiple variables and equations regression.
在初始地应力场分析问题中，采用了多方程回归方法。
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.
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。
After controlling these possible confounding variables by multiple regression, the contribution of the ALAD isozyme phenotype to the blood lead levels was still statistically significant.
采用多元逐步回归分析，发现ALAD基因型对血铅水平的影响在排除协变量影响后仍有极显著的统计学意义。
Single-factor correlation, multiple-factor regression, gradual regression and covariance analysis were adopted for correlation analysis among variables.
各变量间相关分析用单因素相关分析、多因素回归和逐步回归分析。
Conclusions: The multiple regression analysis may predict unknown variable from known variables in morphological application.
结论：在形态学上进行多元线性回归分析，可以通过某些已知变量来预测某个未知变量。
Understand why multiple regression techniques allow for the analysis of the relationship between an outcome and a predictor in the presence of confounding variables.
了解为何复回归允许在有干扰变数的情况下，分析单一结果和预测变项的关联性。
Multiple regression analysis was used to assess the association between individual clinical variables and suboptimal early graft function.
应用多元回归分析评价患者个体临床指标同亚最适状态早期移植肾功能之间的相关性。
A multiple regression equation was formulated using wool producing capacity as the dependent variable and amino acid contents as independent variables.
分析了氨基酸含量与其对应的密码子数之间的关系，制定了产毛性能与氨基酸之间的多元线性回归方程。
Multiple regression models can accommodate many explanatory variables that may be correlated.
回归模型能容许很多解释变量，而这些变量可以是相关的。
Multiple regression models can accommodate many explanatory variables that may be correlated.
回归模型能容许很多解释变量，而这些变量可以是相关的。
应用推荐