The Model F-value of 250.24 implies

The Model F-value of 250.24 implies the model is significant. There is only a 0.01% chance that a "Model F-Value" this large could occur due to noise.
Values of "Prob > F" less than 0.0500 indicate model terms are significant.
In this case B, C, A
++2
+-, B
++2
+-, C
++2
+- are significant model terms.
Values greater than 0.1000 indicate the model terms are not significant.
If there are many insignificant model terms (not counting those required to support hierarchy), model reduction may improve your model.

The "Lack of Fit F-value" of 1.20 implies the Lack of Fit is not significant relative to the pure error. There is a 41.63% chance that a "Lack of Fit F-value" this large could occur due to noise. Non-significant lack of fit is good -- we want the model to fit.

結果 (英文) 3:

250.24模型的F值意味着模型的显著性。只有0.01%的机会，一个“模型F值”这个大可能由于噪声发生。“问题”F”小于0.0500，表明模型是重要的价值观。在这种情况下，B，C，A + + 2 +，B + + 2 + 2 +，C++是重要的模型。值大于0.1000表示模型条款不显著。如果有许多不起眼的模型（不计算支持层次结构），模型降阶可以改进你的模型。“缺乏合适的F值“1.20意味着缺乏适合不显著，相对于纯的错误。有41.63%的机会，“缺乏合适的F值”这个大可能由于噪声发生。非显着缺乏适合是好的-我们希望的模型来拟合。