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The modeling was evaluated by the determination coefficient (R2) and the adjusted determination coefficient (R2 adj), shown fromthe ANOVA results. The R2 value provides ameasure of the variability in the observed response values. Generally, a regression model with an R2 higher than 0.90 is considered to have a very high correlation . The R2adj value indicates the fraction of variation of the response explained by the model adjusted for degrees of freedom . If there are many terms in the model and the sample size is not very large, the R2 adj value may be noticeably smaller than R2. The closer the R2 adj value is to unity, the better the model fit the experimental data and consequently, the smaller the difference between the predicted and observed values . In our case,R2 adj= 0.9339, which is very close to the R2 value (0.9764), indicating a high level of significance and accuracy of the model |
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zhangzws
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musashino(金币+5, 翻译EPI+1): 2010-10-03 19:12:45
| 方差分析结果显示：这个模型可以通过决定系数(R2)和调节决定系数(R2adj)进行评估。R2提供了一种观测值变化性的测定方法。通常，回归模型的R2值高于0.90被认为有很高的相关性。R2adj值显示出观测值变化的部分，可通过调节模型自由度解释。如果模型中有较多的项，而且样本量不是很大，那么R2adj值可能明显小于R2值。R2adj值越接近一致，模型越适用于实验数据，进一步说，预测值和观测值的误差越小。在我们的试验中，R2adj值为0.9339，非常接近R2值(0.9764),说明这一模型具有高的显著性水平和精确度。 |
2楼2010-10-03 12:15:23