Hi,
I am using lm() for regression analysis of my data set. My regression
results look pretty good, i.e., the coefficient is significant and the p
value is much less than 0.05. But when I checked the residuals, both using
qqnorm() and hist(), the distribution does not look normal. It looks like
the residuals have long tails. I assume that lm() uses OLS, and since one of
the assumptions of OLS is that the residuals has to be normally distributed,
I am wondering if this means I should reject my regression results all
together. If so, then what should I use instead? Are there ways to deal with
distributions with long tails using lm() or OLS, or entirely different
models are needed instead?
Thanks,
--
Tom
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