Question
Zeta Inc has estimated its short-run cost function with the following regression, where total cost is the dependent variable, and quantity and quantity squared are
Zeta Inc has estimated its short-run cost function with the following regression, where total cost is the dependent variable, and quantity and quantity squared are the independent variables:
SUMMARY OUTPUT | ||||
Regression Statistics | ||||
Multiple R | 0.9599844 | |||
R Square | 0.94157005 | |||
Adjusted R Square | 0.9291615 | |||
Standard Error | 38.8941172 | |||
Observations | 200 | |||
ANOVA | ||||
SS | MS | F | ||
Regression | 124426.3335 | 62213.17 | 41.12581 | |
Residual | 10589.26649 | 1512.752 | ||
Total | 135015.6 | |||
Coefficients | Standard Error | t Stat | P-value | |
Intercept | 175.856917 | 36.56482377 | 4.8099667 | 0.002512 |
q | -10.753767 | 2.21933182 | -4.85827 | 0.003159 |
q2 | 1.4530907 | 0.377353691 | 3.854424 | 0.005742 |
- What is the cost function for the firm?
- What are the MC and AC functions? Draw a general graph of these.
- At what quantity does AC reach a minimum (MES quantity)? What is the AC at that MES? If Zeta is currently producing 20 units, what is the index of scale economies? What would you recommend for Zeta to reduce AC?
- New regulations require Zeta to use a more environmentally friendly input, raising total costs by $5 per unit. What is the percentage increase in AC at MES as a result?
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