Hello,
I'm having trouble figuring out how to calculate a p-value for a 1-tailed
test of beta_1 in a linear model fit using command lm. My model has only 1
continuous, predictor variable. I want to test the null hypothesis beta_1
is >= 0. I can calculate the p-value for a 2-tailed test using the code
"2*pt(-abs(t-value), df=degrees.freedom)", where t-value and degrees.freedom
are values provided in the summary of the lm. The resulting p-value is the
same as provided by the summary of the lm for beta_1. I'm unsure how to
change my calculation of the p-value for a 1-tailed test.
Thanks for your assistance,
Andy
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