Re:List of every member of congress who supports SOPA, sorta...
by padraigk on Sunday January 08, 2012 @11:05AM
(#3439780)
I wish the table of underlying data was available so that a logistic regression could be run to see whether variables like campaign contributions do indeed predict support for SOPA after age and number of years served have been partialled out.
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Re:List of every member of congress who supports SOPA, sorta...
by tst on Sunday January 08, 2012 @11:27AM
(#3439840)
The data is pretty easily accessible as JSON - however, here's the data I used: http://pastebin.com/nRYv40U8
Firstly, a boxplot with the quotient of entertainment contributions to entertainment & internet contributions.
You can see quite easily that there's a difference which is also significant (95%, t = -4.73).
I've also done a logistic regression correcting with age, party (is_democrat), seniority and quota of contributions (quota_ent).
------------------------------------------------------------------------------
support | Coef. Std. Err. z P>|z| [95% Conf. Interval]
-------------+----------------------------------------------------------------
age | .0258551 .0358136 0.72 0.470 -.0443382 .0960485
is_democrat | -1.252883 .6243361 -2.01 0.045 -2.476559 -.0292067
seniority | -.0262688 .0381962 -0.69 0.492 -.101132 .0485943
quota_ent | 5.839435 1.447732 4.03 0.000 3.001933 8.676938
_cons | -1.968467 2.01512 -0.98 0.329 -5.918029 1.981096
------------------------------------------------------------------------------
The AUC is 0.8089 which is quite okay. Furthermore, it would be interesting to test whether location is a significant factor.Edit: @adamtaylor: Here's a scatter plot with each contribution, transformed with log(1 + x) for readability: http://i.imgur.com/MRciL.png
Re:List of every member of congress who supports SOPA, sorta...
by _delirium on Sunday January 08, 2012 @12:05PM
(#3439927)
Hmm, that scatterplot suggests a less straightforward relationship; the for/against dots look like they plausibly came from slightly different distributions, but not very much different ones.