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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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musashino(金幣+5, 翻譯EPI+1): 2010-10-03 19:12:45
| 方差分析結(jié)果顯示：這個模型可以通過決定系數(shù)(R2)和調(diào)節(jié)決定系數(shù)(R2adj)進(jìn)行評估。R2提供了一種觀測值變化性的測定方法。通常，回歸模型的R2值高于0.90被認(rèn)為有很高的相關(guān)性。R2adj值顯示出觀測值變化的部分，可通過調(diào)節(jié)模型自由度解釋。如果模型中有較多的項(xiàng)，而且樣本量不是很大，那么R2adj值可能明顯小于R2值。R2adj值越接近一致，模型越適用于實(shí)驗(yàn)數(shù)據(jù)，進(jìn)一步說，預(yù)測值和觀測值的誤差越小。在我們的試驗(yàn)中，R2adj值為0.9339，非常接近R2值(0.9764),說明這一模型具有高的顯著性水平和精確度。 |
2樓2010-10-03 12:15:23
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