Table 6.
Regression model analysis results.
| Regression coefficient | |||
|---|---|---|---|
| Model 1 (whole) | Model 2 (male) | Model 2 (female) | |
| Constant | 0.127** (21.261) |
0.120** (14.862) |
0.135** (15.478) |
| Entrepreneurial choice(Yes and No) | 0.002 (1.952) |
0.005** (2.748) |
0.001 (0.728) |
| household registration before college entrance examination(Urban and Rural) | −0.004** (−3.477) |
−0.004** (−2.603) |
−0.003 (−1.899) |
| Log10_EC | 0.104** (7.525) |
0.096** (4.358) |
0.112** (6.884) |
| Log10_IEEPE | 0.124** (6.998) |
0.152** (5.049) |
0.097** (5.212) |
| Log10_EP | 0.581** (32.832) |
0.568** (20.283) |
0.587** (27.461) |
| Sample size | 13885 | 7008 | 6877 |
| R 2 | 0.694 | 0.721 | 0.657 |
| R2 after adjustment | 0.694 | 0.720 | 0.656 |
| F | F (5,13879) = 1269.096, p = 0.000 | F (5,7002) = 720.488,p = 0.000 | F (5,6871) = 567.834, p = 0.000 |
| DW | 1.943 | 1.946 | 1.928 |
The dependent variable: Log10_EEP.
*p < 0.05
**
p < 0.01 The parentheses are the values of t.