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I pasted the data tables to answer the questions in the assignement under each p

ID: 3295542 • Letter: I

Question

I pasted the data tables to answer the questions in the assignement under each picture. thank you.

15.7

Descriptive Statistics

Mean

Std. Deviation

N

Car theft rate 2010

206.9600

84.09261

50

People per square mile 2010

194.9600

261.08978

50

Unemployment 2012

7.0040

1.66328

50

Correlations

Car theft rate 2010

People per square mile 2010

Unemployment 2012

Pearson Correlation

Car theft rate 2010

1.000

.038

.371

People per square mile 2010

.038

1.000

.434

Unemployment 2012

.371

.434

1.000

Sig. (1-tailed)

Car theft rate 2010

.

.395

.004

People per square mile 2010

.395

.

.001

Unemployment 2012

.004

.001

.

N

Car theft rate 2010

50

50

50

People per square mile 2010

50

50

50

Unemployment 2012

50

50

50

Variables Entered/Removeda

Model

Variables Entered

Variables Removed

Method

1

Unemployment 2012, People per square mile 2010b

.

Enter

a. Dependent Variable: Car theft rate 2010

b. All requested variables entered.

Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.396a

.156

.121

78.85943

a. Predictors: (Constant), Unemployment 2012, People per square mile 2010

ANOVAa

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

54222.734

2

27111.367

4.360

.018b

Residual

292284.026

47

6218.809

Total

346506.760

49

a. Dependent Variable: Car theft rate 2010

b. Predictors: (Constant), Unemployment 2012, People per square mile 2010

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

61.702

50.573

1.220

.229

People per square mile 2010

-.049

.048

-.151

-1.017

.314

Unemployment 2012

22.095

7.518

.437

2.939

.005

a. Dependent Variable: Car theft rate 2010

15.10

Descriptive Statistics

Mean

Std. Deviation

N

Civil and politcal rights

3.4583

1.86148

84

Gross National Income per capita (PRF)

13162.7381

15424.40472

84

IncInequality

46.8452

7.02576

84

Correlations

Civil and politcal rights

Gross National Income per capita (PRF)

IncInequality

Pearson Correlation

Civil and politcal rights

1.000

-.694

.204

Gross National Income per capita (PRF)

-.694

1.000

-.413

IncInequality

.204

-.413

1.000

Sig. (1-tailed)

Civil and politcal rights

.

.000

.031

Gross National Income per capita (PRF)

.000

.

.000

IncInequality

.031

.000

.

N

Civil and politcal rights

84

84

84

Gross National Income per capita (PRF)

84

84

84

IncInequality

84

84

84

Variables Entered/Removeda

Model

Variables Entered

Variables Removed

Method

1

IncInequality, Gross National Income per capita (PRF)b

.

Enter

a. Dependent Variable: Civil and politcal rights

b. All requested variables entered.

Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.699a

.489

.477

1.34667

a. Predictors: (Constant), IncInequality, Gross National Income per capita (PRF)

ANOVAa

Model

Sum of Squares

df

Mean Square

F

Sig.

1

Regression

140.710

2

70.355

38.795

.000b

Residual

146.894

81

1.814

Total

287.604

83

a. Dependent Variable: Civil and politcal rights

b. Predictors: (Constant), IncInequality, Gross National Income per capita (PRF)

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

5.864

1.156

5.072

.000

Gross National Income per capita (PRF)

-8.868E-5

.000

-.735

-8.425

.000

IncInequality

-.026

.023

-.100

-1.144

.256

a. Dependent Variable: Civil and politcal rights

Descriptive Statistics

Mean

Std. Deviation

N

Car theft rate 2010

206.9600

84.09261

50

People per square mile 2010

194.9600

261.08978

50

Unemployment 2012

7.0040

1.66328

50

15.7 SOC/C Use the States data set to analyze the rate f car theft (Carthft10). The independent variables will be population density (PopDense) and unem- ployment rate (Unemplymnt). . Click Analyze Regression Linear. Move Carthft10 to the Dependent window and PopDense and Unemplymnt to the Independent window. Click Statistics and check Descriptives. Click Continue to return to the Linear Regression screen Click OK. a. State the unstandardized multiple regression equation. (HINT: The values for a and b are in the "Coefficients" box of the output, under the column labeled B. The value in the first row is a and the value in the second row is b.) b. State the standardized multiple regression equa- tion. What is the direction of each relationship? Which independent variable had the stronger effect on Carthft102 (HINT: The beta-weights are in the "Coefficients" box, under “Standardized Coefficients" and "Beta.") c. Report the value of R2. What percentage of the variance in Carthft10 is explained by the two independent variables combined? How does this compare to the amount of the variance explained by each independent variable alone? (HINTS: R' is in the "Model Summary" box, nd you can compute 2 values from the r's in the Correlations" window of the output.) Bivariate: Carthft 10 and Multiple 15.8 SOC In problem 13.8, you used the States data-

Explanation / Answer

15.10

using the table

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

5.864

1.156

5.072

.000

Gross National Income per capita (PRF)

-8.868E-5

.000

-.735

-8.425

.000

IncInequality

-.026

.023

-.100

-1.144

.256

a. Dependent Variable: Civil and politcal rights

The unstandardised regression equation is

Civil and politcal rights = 5.864 - 8.868E-5*(PRF) -.026*IncInequality

and the standardised regression equation is read from the standardised coefficients column of the table and is

Civil and politcal rights = - 0.735*(PRF) -0.1*IncInequality

Now

Model Summary

Model

R

R Square

Adjusted R Square

Std. Error of the Estimate

1

.699a

.489

.477

1.34667

a. Predictors: (Constant), IncInequality, Gross National Income per capita (PRF)

from this table we see that the value of R2 is 0.489

This means that the model is able to capture 48.9% variation in the data . This value ranges from 0 to 100 in percentage terms, higher the value better the model

Please note that we can answer only 1 full question at a time , as per the answering guidelines

Coefficientsa

Model

Unstandardized Coefficients

Standardized Coefficients

t

Sig.

B

Std. Error

Beta

1

(Constant)

5.864

1.156

5.072

.000

Gross National Income per capita (PRF)

-8.868E-5

.000

-.735

-8.425

.000

IncInequality

-.026

.023

-.100

-1.144

.256

a. Dependent Variable: Civil and politcal rights