This document contains statistical information about 384 participants, including their age, marital status, gender, qualifications, and location. It provides frequency tables and descriptive statistics for these variables. It also shows the results of a regression analysis where the variables BPRP, BORP, BERP, and BCRP were used to predict the variable GF. The regression was significant, with the four predictor variables together explaining 61.8% of the variance in GF.

1. Statistics
Age Martial Status Gender Qualification Location
N
Valid 384 384 384 384 384
Missing 0 0 0 0 0
Frequency Table
Age
Frequency Percent Valid Percent Cumulative
Percent
Valid
1 190 49.5 49.5 49.5
2 181 47.1 47.1 96.6
3 13 3.4 3.4 100.0
Total 384 100.0 100.0
Martial Status
Frequency Percent Valid Percent Cumulative
Percent
Valid
1 196 51.0 51.0 51.0
2 188 49.0 49.0 100.0
Total 384 100.0 100.0
Gender
Frequency Percent Valid Percent Cumulative
Percent
Valid
1 228 59.4 59.4 59.4
2 156 40.6 40.6 100.0
Total 384 100.0 100.0
Qualification

2. Frequency Percent Valid Percent Cumulative
Percent
Valid
1 26 6.8 6.8 6.8
2 223 58.1 58.1 64.8
3 127 33.1 33.1 97.9
4 8 2.1 2.1 100.0
Total 384 100.0 100.0
Location
Frequency Percent Valid Percent Cumulative
Percent
Valid
1 247 64.3 64.3 64.3
2 134 34.9 34.9 99.2
3 2 .5 .5 99.7
5 1 .3 .3 100.0
Total 384 100.0 100.0

3. Descriptive Stats
Descriptive Statistics
N Minimum Maximum Mean Std. Deviation
Age 384 1 3 1.54 .563
Martial Status 384 1 2 1.49 .501
Gender 384 1 2 1.41 .492
Qualification 384 1 4 2.30 .624
Location 384 1 5 1.37 .525
Valid N (listwise) 384
Correlationsb
BERP1 BERP BORP BCRP BPRP GF
BERP1
Pearson Correlation 1 .739**
.379**
.390**
.387**
.331**
Sig. (2-tailed) .000 .000 .000 .000 .000
BERP
Pearson Correlation .739**
1 .569**
.583**
.579**
.570**
Sig. (2-tailed) .000 .000 .000 .000 .000
BORP
Pearson Correlation .379**
.569**
1 .611**
.558**
.563**
Sig. (2-tailed) .000 .000 .000 .000 .000
BCRP
Pearson Correlation .390**
.583**
.611**
1 .742**
.694**
Sig. (2-tailed) .000 .000 .000 .000 .000
BPRP
Pearson Correlation .387**
.579**
.558**
.742**
1 .743**
Sig. (2-tailed) .000 .000 .000 .000 .000
GF
Pearson Correlation .331**
.570**
.563**
.694**
.743**
1
Sig. (2-tailed) .000 .000 .000 .000 .000
**. Correlation is significant at the 0.01 level (2-tailed).
b. Listwise N=384

4. Regresion Analsysis
Variables Entered/Removeda
Model Variables Entered Variables
Removed
Method
1
BPRP, BORP,
BERP, BCRPb
. Enter
a. Dependent Variable: GF
b. All requested variables entered.
Model Summaryb
Model R R Square Adjusted R
Square
Std. Error of the
Estimate
Change Statistics Durbin-Watson
R Square Change F Change df1 df2 Sig. F Change
1 .786a
.618 .614 .51164 .618 153.147 4 379 .000 1.856
a. Predictors: (Constant), BPRP, BORP, BERP, BCRP
b. Dependent Variable: GF
ANOVAa
Model Sum of Squares df Mean Square F Sig.
1
Regression 160.358 4 40.090 153.147 .000b
Residual 99.211 379 .262
Total 259.570 383
a. Dependent Variable: GF
b. Predictors: (Constant), BPRP, BORP, BERP, BCRP
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
t Sig. Collinearity Statistics
B Std. Error Beta Tolerance VIF
1
(Constant) -.268 .161 -1.665 .097
BERP .133 .048 .118 2.768 .006 .559 1.788
BORP .114 .046 .107 2.502 .013 .551 1.816

5. BCRP .261 .058 .230 4.481 .000 .382 2.621
BPRP .511 .057 .445 8.985 .000 .412 2.430
a. Dependent Variable: GF
Collinearity Diagnosticsa
Model Dimension Eigenvalue Condition Index Variance Proportions
(Constant) BERP BORP BCRP BPRP
1
1 4.935 1.000 .00 .00 .00 .00 .00
2 .021 15.231 .97 .03 .01 .06 .05
3 .018 16.515 .03 .43 .23 .12 .21
4 .017 17.240 .00 .54 .71 .00 .02
5 .009 23.302 .00 .00 .04 .81 .72
a. Dependent Variable: GF
Residuals Statisticsa
Minimum Maximum Mean Std. Deviation N
Predicted Value .7511 4.7935 3.5365 .64706 384
Residual -1.98190 1.17956 .00000 .50896 384
Std. Predicted Value -4.305 1.943 .000 1.000 384
Std. Residual -3.874 2.305 .000 .995 384
a. Dependent Variable: GF