英语翻译In order to accept the above model we tested the normali
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英语翻译
In order to accept the above model we tested the normality of the residuals,multicollinearity and
heterocedasticity.
5
Normality of the residuals.Due to the sample size (n=160),the usual test procedures (the t and F
tests) are still valid asymptotically (Greene,1997,p.341; Gujarati,1995,p.317),even though the
residuals do not follow a normal distribution (Kolmogorov-Smirnov = 0.08,p= 0.02).
Multicollinearity.According to Menard (1995),a tolerance value lower than 0.20 suggests a
multicollinearity problem.The minimum value in our model was 0.64.Alternatively,following Myers
(1990) and Bowerman and O’Connell (1990),a variance inflation factor (VIF) above 10 indicates the
possible existence of a multicollinearity problem.In our model the maximum value was 1.57.
Heterocedasticity.The White test (White,1980) did not reveal any problem of heterocedasticity:
n·R2=160·0.29=46.4,for X2
34 0.05= 48.7; hence we did not reject the null hypothesis of
homocedasticity.
In order to accept the above model we tested the normality of the residuals,multicollinearity and
heterocedasticity.
5
Normality of the residuals.Due to the sample size (n=160),the usual test procedures (the t and F
tests) are still valid asymptotically (Greene,1997,p.341; Gujarati,1995,p.317),even though the
residuals do not follow a normal distribution (Kolmogorov-Smirnov = 0.08,p= 0.02).
Multicollinearity.According to Menard (1995),a tolerance value lower than 0.20 suggests a
multicollinearity problem.The minimum value in our model was 0.64.Alternatively,following Myers
(1990) and Bowerman and O’Connell (1990),a variance inflation factor (VIF) above 10 indicates the
possible existence of a multicollinearity problem.In our model the maximum value was 1.57.
Heterocedasticity.The White test (White,1980) did not reveal any problem of heterocedasticity:
n·R2=160·0.29=46.4,for X2
34 0.05= 48.7; hence we did not reject the null hypothesis of
homocedasticity.
正态的残差.由于样本量(N = 160),通常的测试程序(在T和F测试)仍然有效渐近(格林,1997年,第341页;古吉拉特语,1995年,第317页),即使残差不遵循正态分布(柯尔莫哥洛夫,斯米尔诺夫= 0.08,P值0.02).
多重共线性.根据孟纳德(1995),误差值低于0.20显示多重共线性问题.此外,以下迈尔斯(1990年)和博夫曼和O'Connell(1990),一个方差通货膨胀因素(国际)以上10表示多重共线性问题可能存在的问题.在我们的模型的最大值是1.57.
非方差齐性白色的测试(白色,1980年)并没有透露任何非方差齐性问题:诺拉?R2 = = 46.4 160?0.29,冷却34 0.05 = 48.7;因此,我们没有拒绝原假设的非方差齐性.
多重共线性.根据孟纳德(1995),误差值低于0.20显示多重共线性问题.此外,以下迈尔斯(1990年)和博夫曼和O'Connell(1990),一个方差通货膨胀因素(国际)以上10表示多重共线性问题可能存在的问题.在我们的模型的最大值是1.57.
非方差齐性白色的测试(白色,1980年)并没有透露任何非方差齐性问题:诺拉?R2 = = 46.4 160?0.29,冷却34 0.05 = 48.7;因此,我们没有拒绝原假设的非方差齐性.
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