SPSS Homework

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LabAssignment5_Homework.docx

Variables Entered/Removeda

Model

Variables Entered

Variables Removed

Method

1

judge or jury trial, number of victims, Age in yr a/o offn, victim provocation, sex of defendantb

.

Enter

a. Dependent Variable: SentTotal

b. All requested variables entered.

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Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.449a

.202

.194

101.41300

a. Predictors: (Constant), judge or jury trial, number of victims, Age in yr a/o offn, victim provocation, sex of defendant

ANOVAa

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

1374047.250

5

274809.450

26.720

.000b

Residual

5430267.451

528

10284.597

Total

6804314.701

533

a. Dependent Variable: SentTotal

b. Predictors: (Constant), judge or jury trial, number of victims, Age in yr a/o offn, victim provocation, sex of defendant

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

Collinearity Statistics

B

Std. Error

Beta

Tolerance

VIF

1

(Constant)

-28.054

34.257

-.819

.413

Age in yr a/o offn

-.004

.412

.000

-.011

.991

.963

1.038

sex of defendant

56.800

15.241

.149

3.727

.000

.943

1.060

victim provocation

-58.079

11.616

-.196

-5.000

.000

.984

1.016

number of victims

28.251

24.326

.045

1.161

.246

.992

1.008

judge or jury trial

78.019

9.583

.323

8.142

.000

.961

1.041

a. Dependent Variable: SentTotal

Collinearity Diagnosticsa

Model

Dimension

Eigenvalue

Condition Index

Variance Proportions

(Constant)

Age in yr a/o offn

sex of defendant

victim provocation

number of victims

judge or jury trial

1

1

4.938

1.000

.00

.00

.00

.01

.00

.00

2

.801

2.483

.00

.00

.00

.96

.00

.00

3

.136

6.034

.00

.58

.20

.00

.00

.02

4

.068

8.545

.00

.11

.58

.00

.01

.50

5

.046

10.343

.03

.22

.13

.01

.34

.36

6

.012

20.388

.97

.08

.08

.02

.66

.11

a. Dependent Variable: SentTotal

CODEBOOK for homicide dataset

SENTTotal – length of sentence received in months

dage – continuous variable measuring defendants age

sex – dichotomous variable for sex of defendant (0=female; 1=male)

provoke – dichotomous variable for victim provocation (0=no; 1=yes)

numvict – continuous variable measuring the number of homicide victims

trialtype – dichotomous variable measuring trial by judge or jury (1=judge; 2=jury)

1. Is overall regression model statistically significant?

2. How good is our Model? Percentage of variance in DV explained by IVs together. (R square or adjusted R square)

3. Which IVs are statistically significant? (significance associated with t statistic <0.05)

4. What is the unstandardized effect of the IVs?

5. What is the relative importance of the IVs (standardized effect)