sample regression

  • 释义

    样品回归

数据更新时间:2026-04-19 17:26:08
1、

Profile analysis shows that asset income rate is an optimal method. The distinguishing rate of logistic regression model of t-1 years' sample can reach 81. 6%.

剖面分析表明资产收益率判定效果最佳,Logistic回归模型对样本t-1年的判别率达到81.6%。

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2、

In the process of regression diagnostics, using the method of the box plot to observe outliers, this article analyzes outliers and excludes them from the sample data and then goes through the regression test, ultimately gets the more robust regression model.

而在回归诊断过程中,本文采用箱线图的方法观察异常值,对异常值进行分析,通过剔除异常值的样本数据而进行回归检验,最终得到了更为稳健的回归模型。

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3、

How do we think about how well our sample regression line fits our sample data?

我们怎样衡量我们的样本回归线拟合样本数据有多好 呢 ?

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4、

In the calculation part, the paper has chosen iron and steel listed companies as a sample and the growth of borrowing costs, the total assets and return on equity as indicators to build the regression model.

在计算分析部分本文以钢铁行业上市公司作为样本,以借款费用、总资产和净资产收益率的增长水平作为指标建立回归模型。

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5、

Secondly, we analyze the listed companies' classification of financial assets into tradable financial assets and available-for-sale financial assets, in the year of 2009, as our research sample, and use probit regression model to test it.

然后,以2009年上市公司交易性金融资产和可供出售金融资产分类的会计政策选择为研究对象,运用概率回归模型(Probit)进行实证检验。

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