Home  Multiple choice questions  Part 5  More advanced correctional statistics 
Please refer to the following outputs when answering the questions
Variables Entered/Removed 

Model 
Variables Entered 
Variables Removed 
Method 
1 
Gender, Age, 
. 
Enter 
a. All requested variables entered. 
Model Summary 

Model 
R 
R Square 
Adjusted R Square 
Std. Error of the Estimate 
1 
.563^{a} 
.317 
.313 
.989 
a. Predictors: (Constant), Gender, Age, Car value, Years driving 
ANOVA^{b} 

Model 
Sum of Squares 
df 
Mean Square 
F 
Sig. 

1 
Regression 
306.947 
4 
76.737 
78.501 
.000^{a} 
Residual 
662.766 
678 
.978 



Total 
969.713 
682 




a. Predictors: (Constant), Gender, Age, Car value, Years driving 

b. Dependent Variable: Risk 
Coefficients^{a} 

Model 
Unstandardized Coefficients 
Standardized Coefficients 
t 
Sig. 

B 
Std. Error 
Beta 

1 
(Constant) 
2.347 
.247 

9.495 
.000 
Years driving 
.131 
.026 
.192 
5.130 
.000 

Car value 
.604 
.041 
.574 
14.830 
.000 

Age 
.081 
.038 
.078 
2.097 
.036 

Gender 
.142 
.080 
.058 
1.778 
.076 

a. Dependent Variable: Risk 