Regression Analysis 1. At the end of the Regression Analysis with Categorical Data lecture, there was a prompt about a multiple regression analysis conducted to examine the factors influencing police arrests. There are two competing theories of when the police make arrests: Situational Threats: police only make arrests when protestors use violent or illegal tactics. When demonstrators step out of line, the police respond accordingly. NonBehavioral Threats: while the tactics protestors use are certainly important, the police are more aggressive with some types of demonstrations due to factors unrelated to police behavior, such as protestor ideology or event size. • The situational threats approach emphasizes protestor tactics, so we use the following measures to test for it: 1. Protestor Violence (l=yes, O=no) 2. Property Damage (l=yes, O=no) 3. Civil Disobedience (1 =yes, 0= no) • The nonbehavioral threats approach points to nonbehavioral factors. In this case, we use the following measures: 1. Protest Size (in thousands) 2. Government Target (l=yes, O=no) 3. Radical Protestors (1 =yes, O=no) • For
Regression Analysis
1. At the end of the Regression Analysis with Categorical Data
lecture, there was a prompt
about a multiple regression analysis conducted to examine the
factors influencing police arrests.
There are two competing theories of when the police make
arrests:
Situational Threats: police only make arrests when protestors use violent or illegal tactics.
When demonstrators step out of line, the police respond accordingly.
NonBehavioral Threats: while the tactics
protestors use are certainly important, the police
are more aggressive with some types of demonstrations due to
factors unrelated to police
behavior, such as protestor ideology or event size.
and 2006.
Here are the results:
Estimate 
Std. Error 
t value 
PValue 

Intercept 
0.05 
1.05 
0.05 
0.96 
Protestor Violence 
9.67 
1.21 
7.97 
< 1.82e  15 
Property Damage 
18.43 
1.58 
11.65 
< 2e  16 
Civil Disobedience 
12.72 
0.78 
16.24 
< 2e  16 
Protest Size (1000s) 
0.03 
0.01 
3.57 
0.000355 
Government Target 
0.24 
0.97 
0.25 
0.80 
Radical Protestors 
5.66 
0.6 
9.43 
< 2e. 16 
Value 
OF 
PValue 

F(obtained) 
116.8 
(11430, 6) 
< 2e  16 

R2 
0.07259 
The mean for each independent variable is:
Protestor Violence
0.07
Property Damage
0.09
Civil Disobedience
0.12
Protest Size (1000s)
21.58
Government Target
0.41
Radical Protestors
0.23
Use the information from the tables to answer the questions
below. Please keep your answers
brief you do not need to write a lot to answer
these questions.
i)
Variable Significant?
Intercept Yes
Protestor Violence
Property Damage
Civil Disobedience
Protest Size (100s)
Government Target
Radical Protestors
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