The question may be quick, but what it means is not clear to me.
In what sense can the -lfit-s be better than the -qfit-s? If you fit a
quadratic to a linear relationship, that should be fine because the
linear's just a special case. Sure, you are using two parameters rather
than one, so there's an issue of parsimony, but what Allison means by
"better" here I don't know.
Otherwise, yes: you can mix two different kinds of graphs if you think
that's a good idea, but why is there any doubt about that? Does "can"
mean "should"?
Nick
[email protected]
[email protected]
I have a quick question regarding the graphs. I am trying to graph the
relationship between some interaction variables and my outcome variable.
To do this, I am using "twoway (qfitci DV IV)". However, some of the
relationships are better represented using 'twoway (lfitci DV IV)'. Can
I use a mixture of both of these approaches to present my data?
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