Question: 1. Given the following Excel output: SUMMARY OUTPUT Regression Statistics Multiple R 0.989636184 R Square 0.979379777 Adjusted R Square 0.97680225 Standard Error 0.026005069 Observations 10
1. Given the following Excel output:
| 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 | Standard Error | |
| Intercept | 4.634586597 | 0.019663831 |
| X Variable 1 | -0.23051146 | 0.011825476 |
Which of the following equations represents the best estimate of the learning process based on the regression output?
a. Yx = 4.63x -.2305
b. Yx = 100x -.2305
c. Yx = 102.98x -.2305
d. Yx = 102.98x.979
e. none of the above
2. Which of the following statements is true with regard to best operating level?
a. In underutilization, average unit cost of output increases
b. In overutilization, average unit cost of output increases
c. Best operating level is the minimum average unit cost of output
d. Best operating level is the denominator of capacity utilization calculations
e. All of the above statements are true
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