Table 3. Logistic Regression Results of Determinants of Social Engineering
|
Variable___________ |
Estimated Coefficient |
t-ratio |
Marginal Effect_______ |
|
Intercept |
2.1474 |
(1.582) | |
|
Age3544 |
1.6843 |
(1.879)* |
0.42 |
|
Age4554 |
0.5144 |
(0.80) | |
|
Age5564 |
0.2554 |
(0.408) | |
|
SalesunderlO |
-2.2777 |
(1.55) | |
|
Sales 1049 |
-2.7828 |
(1.833)* |
-0.69 |
|
Sales5099 |
-3.4854 |
(2.228)** |
-0.87 |
|
Sales 100249 |
-2.4849 |
(1.664)* |
-0.62 |
|
Sales250499 |
-1.2805 |
(0.866) | |
|
Sales500999 |
-3.2176 |
(1.582)* |
-0.80 |
|
Incnone |
3.1976 |
(3.043)*** |
0.79 |
|
Inc125 |
0.8645 |
-1.012 | |
|
Inc2650 |
1.4929 |
(1.705)* |
0.37 |
|
Inc5175 |
2.8685 |
(1.830)* |
0.72 |
|
Grade |
-1.0511 |
(0.580) | |
|
HS |
-1.2811 |
(0.934) | |
|
HSDip |
-1.3156 |
(1.750)* |
-0.33 |
|
College |
-2.342 |
(3.007)*** |
-0.58 |
|
BA |
-1.4542 |
(2.175)** |
-0.36 |
|
Sample size |
116 | ||
|
Mc Fadden R2 |
.20 | ||
|
Chi-squareddf |
31.9118 | ||
|
Significance level |
.02 | ||
|
Correct prediction (%) |
____________71____________ |
23
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