Interpret DOE results
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 This topic has 3 replies, 3 voices, and was last updated 19 years, 3 months ago by Tim.

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July 3, 2002 at 8:11 pm #29788
Need help in interpreting a DOE results. Below is the result from doing Multiple Regression Analysis.
What is this telling me:
Rsq = 0.9913, Adj. Rsq = 0.9905, Std Error = 4.1
F = 1361, Sig F = 0
What is the significant of TOL and P(2 Tail)?
Many thanks.Yhat Model
Factor
Name
Coeff
P(2 Tail)
Tol
Active
Const
54.450
0.0000
B
Time
19.650
0.0000
1
X
C
Distance
35.400
0.0000
1
X
BC
9.00000
0.0000
1
X
Rsq
0.9913
Adj Rsq
0.9905
Std Error
4.1049
F
1361.2522
Sig F
0.0000
Source
SS
df
MS
Regression
68811.3
3
22937.1
Error
606.6
36
16.9
Total
69417.9
39
0July 3, 2002 at 11:37 pm #76916That you need to get Design & Analysis of Experiments training before attempting to design or analyze an experiment.
0July 4, 2002 at 1:42 pm #76940
Ø6 Sigma BB CoordinatorParticipant@Ø6SigmaBBCoordinator Include @Ø6SigmaBBCoordinator in your post and this person will
be notified via email.Wow……, you use DOE KISS, my favotite software.
Rsq = 0.9913, Adj. Rsq = 0.9905,
R sqaure and adjusted R squre show the model you get can explain your Y about 99%.
Both can be used for this interpretation.
Adj. Rsq is modified Rsq, being less when many terms included in the model.
Std Error = 4.1
From the model you can predict Y. The standard deviation of the actual result around your Y predicted is = 4.1.
F = 1361, Sig F = 0
F value ( a statistical term is = 1361). You have to know about F distributtion and your degree of freedom to interprete this.
For easier way, I use Sig F (significant of F).
This case your Sig F = 0.000 somthing. Surely it is not 0 exactly.
This means the proability that your overall model is not significant is near to 0 or you can have confidence nearly to 100% that your model is significant (your X factors really affect your Y)
What is the significant of TOL and P(2 Tail)?
Tol, tolelance, shows degreee of dependence between your Xs.
Tol = 1 means , there are absolutely no dependence between your Xs.
ROT — Tol should > 0.5.
P(2 Tail) is the probability that the terms may not be significant.
ROT — P(2 Tail) <= 0.1 keep the terms.
Hope this hellps.
Six Sigma Black Belt Coordinator0July 9, 2002 at 11:50 pm #77087Thanks SSBBC,
What happen if not all the Tol =1. Would the design still consider as good?
Why some DOE yield no S hat?0 
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