Selecting parameters from different models

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Hello everybody, I'm totally new to statistics and it is the point where I have to use statistical analysis for a work I'm currently struggling with. I run the regression analysis for 25 different data files (for same independent and dependent variables) to come up with equations for each data file. So I have 25 equations. Now I'm wondering, what could be the best analysis to select one equation for all of 25 data files? Thank you,
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Star Strider
Star Strider 2016-3-8
‘Each data file is the result of different experiment and yes different population.’
Then don’t combine them. One size does not fit all. Report them individually, and discuss the differences.
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amberly hadden
amberly hadden 2016-3-8
Thank you, start. But it is not possible as I have 140 data sets. and displaying 140 equations is not practically acceptable. Also variation between a and b is not huge (eg., range is between 300 - 500 )
Star Strider
Star Strider 2016-3-8
If you have 140 different experiments with 140 different populations, combining them may not be statistically possible unless you can demonstrate that the subjects in the experiments were by all relevant characteristics not statistically significantly different. (Using the multcompare function on each characteristic could be an option.) If they weren’t different, you could possibly combine all your data in one file and do the regression on that.

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