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2013 Nov 09
0
Standard errors in regression models with interactions terms
...makes a difference (for volume) whether a three is thick. If my interpretation is correct, for low trees, i.e. for which trees$isHigh == FALSE, the answer is yes. The problem is how to "merge" the standard errors. Code follows. data(trees) trees$isHigh <- trees$Height > 76 trees$isThick <- trees$Girth > 13 m <- lm(trees$Volume ~ trees$isHigh + trees$isThick + trees$isHigh:trees$isThick) summary(m) I might be mistaken, but a workaround is to rewrite the model as follows, which shows that the answer is yes. However, I would very much like to know how to answer the question...