Results of ordinal regression for hindsight bias
| χ2 17.162 P = 0.046 | Estimate | Std. error | Wald | Sig. |
|---|---|---|---|---|
| Explained variable | ||||
| Hindsight bias = 1 | −2.076 | 1.256 | 2.730 | 0.098 |
| Hindsight bias = 2 | −0.787 | 1.251 | 0.396 | 0.529 |
| Explanatory variable | ||||
| Financial literacy score | −0.090 | 0.030 | 9.074 | 0.003*** |
| Gender | −0.296 | 0.223 | 1.770 | 0.183 |
| Age group | 0.143 | 0.235 | 0.374 | 0.541 |
| Education | 0.012 | 0.241 | 0.003 | 0.959 |
| Area of specialization | −0.492 | 0.386 | 1.623 | 0.203 |
| Average income | −0.150 | 0.246 | 0.373 | 0.542 |
| Main source of information | 0.324 | 0.216 | 2.263 | 0.133 |
| Preferred investment | −0.246 | 0.232 | 1.120 | 0.290 |
| Frequency of information | 0.355 | 0.730 | 0.236 | 0.627 |
| χ2 17.162 | Estimate | Std. error | Wald | Sig. |
|---|---|---|---|---|
| Hindsight bias = 1 | −2.076 | 1.256 | 2.730 | 0.098 |
| Hindsight bias = 2 | −0.787 | 1.251 | 0.396 | 0.529 |
| Financial literacy score | −0.090 | 0.030 | 9.074 | 0.003 |
| Gender | −0.296 | 0.223 | 1.770 | 0.183 |
| Age group | 0.143 | 0.235 | 0.374 | 0.541 |
| Education | 0.012 | 0.241 | 0.003 | 0.959 |
| Area of specialization | −0.492 | 0.386 | 1.623 | 0.203 |
| Average income | −0.150 | 0.246 | 0.373 | 0.542 |
| Main source of information | 0.324 | 0.216 | 2.263 | 0.133 |
| Preferred investment | −0.246 | 0.232 | 1.120 | 0.290 |
| Frequency of information | 0.355 | 0.730 | 0.236 | 0.627 |
Notes:
***p ≤ 0.01
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