Question: Given the following Excel output from a log-log transformed learning curve analysis: SUMMARY OUTPUT Regression Statistics Multiple R 0.989636184 R Square 0.979379777 Adjusted R Square
Given the following Excel output from a log-log transformed learning curve analysis:
| SUMMARY OUTPUT | ||
| Regression Statistics | ||
| Multiple R | 0.989636184 | |
| R Square | 0.979379777 | |
| Adjusted R Square | 0.97680225 | |
| 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 250th unit (all units are in seconds)?
Group of answer choices
33.38 seconds
31.31 seconds
30.36 seconds
28.84 seconds
27.65 seconds
None of the above/can't answer
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