Post Four: Results

Coefficient P-value
Union Membership -3.36 0.003
Mexican Border 0.467 0.197
Perot Vote 0.565 0.574
Household Income 0.033 0.076
Corporate Contributions -0.313 0.604
Labor Contributions -4.137 0.000

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Post Three: Results

Hey kids! See if you can interpret a statistical regression using the data below!

  Coefficient P-value
Union Membership -3.36 0.003
Mexican Border 0.467 0.197
Perot Vote 0.565 0.574
Household Income 0.033 0.076
Corporate Contributions -0.313 0.604
Labor Contributions -4.137 0.000

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Post Two

My analysis will look at whip counts to determine the independent variables causing Congressmen to change their anticipated vote in the twenty-nine day period leading up to the NAFTA vote.  The independent variable—called “Shift”—indicates the direction (toward “yes” or “no”) of a Congressman’s change in opinion over this twenty-nine day period.

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Abstract: Sausage Diving

“No one should see how laws or sausages are made.” –misattributed to Otto von Bismarck

This summer I plan to dive into the ugly world of Congressional politics. Specifically, I will be looking at the whip data for the 1993 decision to join NAFTA.

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