在此基础上，通过逐步回归分析确定用于高速公路事件持续时间预测的最佳变量组合并建立多元线性回归模型。
Then, stepwise regression analysis is used to select a best group of factors for the prediction of expressway incident duration, and the multiple linear regression model is established.
对多元线性回归模型参数的预测，转化为对其变量集合的增广矩阵的叉积阵的预测。
Prediction to the regression parameters was converted to predict cross product matrix of the variable augmented matrix.
在多元回归模型建立的过程中，由于各个变量的测量单位不相同，多元回归模型无法正确地评估出各个分量对预测值直接的和间接的影响。
The model of multi-regression cannot correctly distinguish the direct and indirect effects from different components in the process of building because the measuring units have differences.
以MQ为因变量进行多元回归分析，TAS-26因子与受教育年限依次进入回归方程。
The factor of TAS-26 and educational years enter the regression equation for MQ in turn.
将模糊集理论引入多元线性回归中，通过模糊控制变量，可以得出更符合实际，也更容易为人所理解的回归模型。
By introducing fuzzy control variable, the paper proposes a fuzzy multiple linear regression model which can get more effective and more understandable fuzzy regression expression.
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。
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.
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.
实证部分主要包括多变量检验、单变量t检验、趋势图分析以及多元线性回归分析等。
Evidences include some of the major multi-variable tests, a single variable t tests, trend analysis and multiple linear regression analysis.
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。
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.
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。
Conclusions: The multiple regression analysis may predict unknown variable from known variables in morphological application.
然而，在多元线性分析方法中，当求解因变量对自变量的回归时，得到的组合系数往往均不为零，因此这种回归模型的主要缺点是缺乏可解释性。
However, when try to regression independent variables to the dependent variables in multivariate analysis, the coefficients are all non-zero. So these models lack of interpretation.
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.
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。
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。
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.
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