• Other explanatory variables and the total return have no significant correlation.

    其他解释变量回报率没有显著相关关系

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  • Multiple regression models can accommodate many explanatory variables that may be correlated.

    回归模型容许很多解释变量,而这些变量可以相关的。

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  • For the problem of multicollinearity and the number of explanatory variables rather than practical issues, s.

    针对变量多重相关性解释变量多于样本点等实际问题,伍德S

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  • In particular, when regression functions are linear, these sets become hyperplanes in explanatory variables Spaces.

    特别地,回归函数线性时,类集合就是解释变量空间中的平面。

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  • Regression models seek to determine statistically the relationship between a dependent variable and a set of independent or explanatory variables.

    回归模块旨在从数据分析上揭示某种因变量一系列自变量解释变量之间联系

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  • Objective to relax linear assumption of explanatory variables in general linear model and explore more-dimensional spline regression analysis model.

    目的放宽经典线性模型中的多个解释变量线性假定探讨多维样条回归分析模型。

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  • From the results we can see the debt ratio, return on net assets, equity turnover ratio had a positive relationship with the explanatory variables, and this is consistent with the expected.

    结果我们可以看到我们负债比率净资产收益率股票周转率相关之关系解释变量符合预期的。

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  • It is highly possible that because explanatory variables are highly correlated, the resulted large standard errors could indicate an parameter to be insignificant while it is indeed significant.

    解释变量可能高度相关,即使变量实际上显著结果中的较大标准差可能表明参数显著。

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  • Further, on this basis we derived an instrumental variable regression model. After disregarding the effect of multicollinearity among the explanatory variables, we verify the accuracy of the results.

    并以此基础衍生工具变量回归模型剔除解释变量多重共线性影响后,验证了结果的准确性

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  • The contents of these files are self-explanatory, and simply serve to animate the fade-out portion of the rainbow and manage the variables to make sure new components are drawn correctly.

    这些文件内容无须解释,它们用于实现彩虹淡化部分管理一些变量从而确保正确地绘制新的彩虹段。

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  • It can not only be used to determine the importance of an explanatory variable in the regression model, but also to detect some cases with influence on the model and variables.

    通过减变量残差图,不但可以容易地考察一个变量模型中的作用,而且可以诊断样本模型变量影响大小。

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  • This study examined predictor variables that would contribute toward an explanatory model linking child maltreatment and the outcome of crime seriousness.

    研究预测变量有助于解释性连接儿童虐待犯罪严重性结果模型

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  • This study examined predictor variables that would contribute toward an explanatory model linking child maltreatment and the outcome of crime seriousness.

    研究预测变量有助于解释性连接儿童虐待犯罪严重性结果模型

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