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