I was actually waiting for your response. Thank you very much! Yes, I actually removed the ctr point term in my equation. This is the resulting regression equation. However, I am not sure how the term for the ct. point would be of use.
Y= -0.144 + 0.3177 A + 0.1662 B – 0.04065 AB + 0.560 Ct Pt
I have also read in other post that when…[Read more]
I am using a factorial design (2 factors 2 levels) with center points. After running ANOVA, I found the following:
- Main factors were not significant. Only the interaction and the curvature were significant. What should be the model for this? Should I keep all the terms or should I only be keeping the interaction term? y = -0.144 + 0.3177A +…
yes, you are right. i am going to validate the entire model, not just the center points. Thank you for your inputs! 1 year, 3 months ago
If I am going to replicate every thing, I will have 5 experimental runs right (multiplied by 3)? 1 year, 3 months ago
these are currently my objectives:
1. Investigate the main effects and interaction effect of (1st factor) and (2nd factor) on the response;
2. To obtain mathematical models that can predict the response through multiple linear regression analysis using (1st factor) and (2nd factor) as predictor variables;
3. To test model for…[Read more]
hello! thanks for the reply. right now, im currently pursuing two level full factorial with centerpoint. and yes, my variables are continuous.
however, im not really sure of the process. is the model im gonna come up is still linear? and then ill just be doing a follow up check whether there is curvature? im thinking this is the sequence:
I’m new to DOE. I’m doing a full factorial design.
In my case, I have two factors each with 4 levels.
I want to know the main effects and the interaction effects, and establish an equation to predict the response.
However, I have seen in most examples that there are only 2 levels (high and low).
With this, I would like to ask if is…[Read more]