Hi,
I would like to know how to decide the weight in a WLS model in R?
For example, In the pipeline data from faraway, I try to fit a
regression model Lab ~ Field (non-constant variance). I wish to use weights
to account for the non-constant variance. So how to decide the weight in
the WLS
Hi,
When I fit the regression model without an intercept term, R-squared tends
to much larger than the R-squared in the model with an intercept. So in this
case, what�s a more reasonable measure of the goodness of fit for the model
without an intercept?
Thanks a lot!!
Yan
, the NAs will be 1, and the sum of ls_flag will
be 1.
Then it should go into master_df_ex again, and assign a -1 to line 4. Then
the summary will have 0 and 0 and this date should be done.
I hope that makes sense! Any help is appreciated! Thank you very much.
--
Yan Wu
510-333-3188 http
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