Hi, I need your help to analyse the meaning of this information given by minitab for a DOE project:
I understand nothing its important due we have a P value bigger than 0.05 in all factors, but I dont know if my conclusion is right. We have an error of 3%, so the model is complete.
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General Linear Model: Yield versus Layers, Method, Blocks
Factor Type Levels Values
Layers fixed 4 0 1 2 3
Method fixed 2 1 2
Blocks fixed 3 1 2 3
Analysis of Variance for Yield, using Adjusted SS for Tests
Source DF Seq SS Adj SS Adj MS F P
Layers 3 0.0008050 0.0008050 0.0002683 1.89 0.249
Method 1 0.0000707 0.0000566 0.0000566 0.40 0.555
Blocks 2 0.0001656 0.0001439 0.0000719 0.51 0.630
Layers*Method 3 0.0000158 0.0000116 0.0000039 0.03 0.993
Layers*Blocks 6 0.0003949 0.0003841 0.0000640 0.45 0.819
Method*Blocks 2 0.0002023 0.0002023 0.0001012 0.71 0.534
Error 5 0.0007085 0.0007085 0.0001417
Total 22 0.0023627
Unusual Observations for Yield
Obs Yield Fit SE Fit Residual St Resid
4 0.99530 0.99530 0.01190 -0.00000 * X
X denotes an observation whose X value gives it large influence.
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