Question: Given the following Excel output from a log-log transformed learning curve analysis: SUMMARY OUTPUT Regression Statistics Multiple R 0.489636184 R Square 0.479379777 Adjusted R Square
Given the following Excel output from a log-log transformed learning curve analysis:
| SUMMARY OUTPUT | ||
| Regression Statistics | ||
| Multiple R | 0.489636184 | |
| R Square | 0.479379777 | |
| Adjusted R Square | 0.47680225 | |
| Standard Error | 0.026005069 | |
| Observations | 10 | |
| ANOVA | ||
| df | SS | |
| Regression | 1 | 0.256958976 |
| Residual | 8 | 0.005410109 |
| Total | 9 | 0.262369085 |
| Coefficients | ||
| Intercept | 4.634586597 | |
| X Variable 1 | -0.23051146 | |
What is the best answer for how long it will take to make the 125th unit (all units are in seconds)?
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