The Model F-value of 35.68 implies the model is significant.There is onlya 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 A, B, C, AB, A
2, B
2
, C2
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 1200.25 implies the Lack of Fit is significant.There is only a 0.01% chance that a "Lack of Fit F-value" this large could occur due to noise.Significant lack of fit is bad -- we want the model to fit.design expert软件的分析结果，怎样翻译呀，实验到底成功了吗？