Could anyone offer some pointers on how to use the
weights argument in R's
lm function? Say, for instance you were trying to fit a model on traffic data, and you had several hundred rows, each of which represented a city (with a different population). If you wanted the model to adjust the relative influence of each observation based on population size, could you simply specify
weights=[the column containing the city's population]? Is that the sort of vector that can go into
weights? Or would you need to use a different R function/package/approach entirely?
Curious to hear how people tackle this one - didn't see it covered in any of the linear modeling tutorials I saw out there. Thanks!