OLS regression estimation results (OLC-process innovation)
| PRO-Inov | OLS estimation | |||
|---|---|---|---|---|
| Coef. | Std. error | t | p>|t| | |
| Constant | 0.0723239 | 0.0498355 | 1.45 | 0.148 |
| OLC | 0.4098687 | 0.0698964 | 5.86 | 0.000 |
| R&D | 0.0900187 | 0.0214801 | 4.19 | 0.000 |
| Firm age | 0.000404 | 0.0073195 | 0.06 | 0.956 |
| Firm size | 9.21e-06 | 0.0000173 | 0.53 | 0.594 |
| PRO-Inov | OLS estimation | |||
|---|---|---|---|---|
| Coef. | Std. error | |||
| Constant | 0.0723239 | 0.0498355 | 1.45 | 0.148 |
| OLC | 0.4098687 | 0.0698964 | 5.86 | |
| R&D | 0.0900187 | 0.0214801 | 4.19 | |
| Firm age | 0.000404 | 0.0073195 | 0.06 | 0.956 |
| Firm size | 9.21e-06 | 0.0000173 | 0.53 | 0.594 |
Notes:
PRO-Inov: process innovation; F(4, 192) = 19.93; Prob > F = 0.0000; R-squared = 0.2934; Adj. R-squared = 0.2787
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