Linear regression analyses results: gender on company success over several models; coefficients, significance, explainability, ANOVA
| Variable | Model 1 | Model 2 | Model 3 |
|---|---|---|---|
| Company age | −0.04 | −0.01 | 0.01 |
| Industry | 0.04 | 0.07 | 0.07 |
| Serial founder | 0.05 | 0.03 | |
| Education | −0.12** | −0.13*** | |
| Age | 0.10* | 0.10* | |
| Gender | −0.09* | ||
| R-squared | 0.06 | 0.07 | 0.08 |
| Delta in R-squared | 0.06 | 0.01 | 0.01 |
| Overall F | 2.08 | 2.06 | 2.08 |
| ANOVA sig | 0.01 | 0.01 | 0.00 |
| Variable | Model 1 | Model 2 | Model 3 |
|---|---|---|---|
| Company age | −0.04 | −0.01 | 0.01 |
| Industry | 0.04 | 0.07 | 0.07 |
| Serial founder | 0.05 | 0.03 | |
| Education | −0.12 | −0.13 | |
| Age | 0.10 | 0.10 | |
| Gender | −0.09 | ||
| R-squared | 0.06 | 0.07 | 0.08 |
| Delta in R-squared | 0.06 | 0.01 | 0.01 |
| Overall F | 2.08 | 2.06 | 2.08 |
| ANOVA sig | 0.01 | 0.01 | 0.00 |
Notes:
N = 540. Standardised coefficients are reported.
*p < 0.20;
**p < 0.10;
***p < 0.05
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