so we aren't supposed to be doing any regressions
at all in problem
1 - just looking at the data and doing whatever we can to make the
relationship more linear?
Yes, for problem 1 you don't need to fit any linear regression models.
You could just eyeball the necessary bivariate relationships and
transform them to linear relationships if the original untransformed
relationships are not linear. If the original relationships look
pretty close to linear you can just report that fact. My suggestion of
using a loess curve is not necessary, but it might help you discern
empirical relationships in some cases.
Hope this helps.
Best,
Kevin
so we aren't supposed to be doing any regressions
at all in problem
1 - just looking at the data and doing whatever we can to make the
relationship more linear?