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Also important, I recall a note from one of my statistics classes to the effect of, strong sample sizes are often counter-intuitively small. I want to say the

Also important, I recall a note from one of my statistics classes to the effect of, strong sample sizes are often counter-intuitively small. I want to say the example was something like polling in a political race, and the math worked out that you could get reliable results polling only a few tens of people so long as you had random sampling.

roymurdock 11y ago
One of my professors had a rule of thumb of discounting anything below n=25, but you absolutely need to ensure random sampling as its one of the fundamental assumptions of regression - making sure the probability of being part of the sample is uniform across the entire population.