Need a little help with a very simple sensitivity analysis
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Hello everyone,
I have what I think should be a simple questions.
I have some experimental data which is dependant upon two variables and I would like to know which of the two is more important on the output. The example I am thinking of to keep this general would be: I do 2 different exercises a day for 100 days and I record how much I drink each day. So, A = number of pull-ups done each day (between 1 and 10), B = number of pushups done each day (between 1 and 10), and Y = water drunk each day.
What I would like to asses is which of the two exercises has a great effect on the water drank each day.
Can anyone point me in the direction of some very simple analysis techniques which would allow me to quantify which exercise (A or B) had the bigger influence on Y?
Apologies for asking such a simple question but I found myself deep into latin hypercubes and 50+ parameter spaces which all feel like over-kill.
I'm not asking for anyone to do this for me, but I just am not sure which type of analysis is needed. Is ANOVA suitable? I've seen that Sobel is possibly suitable, and that perhaps the Sensitivity Analysis toolbox is worth looking into?
Any help would be very appreciated!
Rob
EDIT: How about cutting me some slack John? I have tried to make it general. And I'm clearly not asking someone to do it for me. I'm asking for some help, isn't that was this is for!?
4 comentarios
Jan
el 9 de Ag. de 2017
@Robert: You can clarify the connection to Matlab during the discussion. E.g. if you found a method you prefer, talk about the application in Matlab.
Your example looks very artificial. You can be sure not to find any significant correlation. But you can run a student t test and decide for the "better" p value. Many studies are based on tortured statistics.
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the cyclist
el 9 de Ag. de 2017
If you have the Statistics and Machine Learning Toolbox, I think you should be able to use fitlm to do this.
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