From Berry and Sanders, Table 5.1, pg 55.

Lobbying Groups_i=b0+b1 IDEOLOGY_i + b2 REPUBLICAN_i + b3 LEADER_i +

b4 CONSTITUENCY_i + b5 CONTRIBUTING GROUPS_i +

b6 $ CONTRIBUTED_i + e_i

	Coefficient	Estimate	T-statistic
Intercept	b0	12.82	5.42
Ideology	b1	-0.10	-3.31
Republican	b2	-3.38	-1.62
Leader	b3	3.16	2.35
Constituency	b4	0.30	0.48
Contributing groups	b5	0.69	1.45
$ Contributed	b6	-0.23	-0.58
R^2=0.51

What else do we need to know in order to interpret this regression?

Coding / range of all the variables.

1. Lobbying Groups, how many groups lobbied the representative on a bill to adopt a broad based energy tax. Runs from 0-24

2. Ideology 0-100, where 100=most liberal

3. Republican 0,1 (dichotomy) where 1=Republican

4. Leader 0,1 (dichotomy) where 1=Leadership position

5. Constituency = strength of oil and gas lobby, in millions of dollars of production in the district

6. Contributing Groups = total number of groups that supported the tax and made a campaign contribution to the representative

7. $ Contributed = amount of contributions, in 1000’s of dollars