1.
Estimating the linear cost function. The result is:
The linear cost function is:
TC = -36975.4 + 6776.4*Q
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2.
Estimating the quadratic cost function. The result is:
SUMMARY OUTPUT | ||||||||||||
Regression Statistics | ||||||||||||
Multiple R | 0.99061532 | |||||||||||
R Square | 0.981318712 | |||||||||||
Adjusted R Square | 0.979120913 | |||||||||||
Standard Error | 6653.41549 | |||||||||||
Observations | 20 | |||||||||||
ANOVA | ||||||||||||
df | SS | MS | F | Significance F | ||||||||
Regression | 2 | 39531334337 | 19765667168 | 446.5007453 | 2.02749E-15 | |||||||
Residual | 17 | 752554940.7 | 44267937.69 | |||||||||
Total | 19 | 40283889277 | ||||||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |||||
Intercept | 18140.1 | 4950.019376 | 3.664652322 | 0.001919656 | 7696.47201 | 28583.72799 | 7696.47201 | 28583.72799 | ||||
Q | -8255.1 | 1085.615944 | -7.604070341 | 7.23386E-07 | -10545.54943 | -5964.65057 | -10545.54943 | -5964.65057 | ||||
Q^2 | 715.7857143 | 50.21481406 | 14.25447306 | 6.93302E-11 | 609.8417173 | 821.7297112 | 609.8417173 | 821.7297112 | ||||
The quadratic cost function is:
TC = 18140.1 - 8255.1*Q + 715.7857143*Q^2
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3.
Estimating the cubic cost function. The result is:
TC | Q | Q^2 | Q^3 | SUMMARY OUTPUT | |||||||||
11 | 1 | 1 | 1 | ||||||||||
32 | 2 | 4 | 8 | Regression Statistics | |||||||||
93 | 3 | 9 | 27 | Multiple R | 0.999866453 | ||||||||
248 | 4 | 16 | 64 | R Square | 0.999732923 | ||||||||
575 | 5 | 25 | 125 | Adjusted R Square | 0.999682846 | ||||||||
1176 | 6 | 36 | 216 | Standard Error | 820.0186757 | ||||||||
2177 | 7 | 49 | 343 | Observations | 20 | ||||||||
3728 | 8 | 64 | 512 | ||||||||||
6003 | 9 | 81 | 729 | ANOVA | |||||||||
9200 | 10 | 100 | 1000 | df | SS | MS | F | Significance F | |||||
13541 | 11 | 121 | 1331 | Regression | 3 | 40273130387 | 13424376796 | 19963.95795 | 8.64141E-29 | ||||
19272 | 12 | 144 | 1728 | Residual | 16 | 10758890.06 | 672430.6286 | ||||||
26663 | 13 | 169 | 2197 | Total | 19 | 40283889277 | |||||||
36008 | 14 | 196 | 2744 | ||||||||||
47625 | 15 | 225 | 3375 | Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | ||
61856 | 16 | 256 | 4096 | Intercept | -3643.2 | 895.7325111 | -4.067285663 | 0.00089599 | -5542.068097 | -1744.331903 | -5542.068097 | -1744.331903 | |
79067 | 17 | 289 | 4913 | Q | 2860 | 360.4095931 | 7.935415856 | 6.15941E-07 | 2095.965794 | 3624.034206 | 2095.965794 | 3624.034206 | |
99648 | 18 | 324 | 5832 | Q^2 | -575.7142857 | 39.37387511 | -14.62173292 | 1.11999E-10 | -659.1831722 | -492.2453992 | -659.1831722 | -492.2453992 | |
124013 | 19 | 361 | 6859 | Q^3 | 41 | 1.2344268 | 33.21379608 | 3.44914E-16 | 38.38313209 | 43.61686791 | 38.38313209 | 43.61686791 | |
152600 | 20 | 400 | 8000 |
The cubic cost function is:
TC = -3643.2 + 2860*Q - 575.7142857*Q^2 + 41*Q^3
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4.
The quadratic equation is a reasonably sound cost equation.
As, it corresponds with the economic theory, that even at the zero levels of output, the firm incurs positive costs, also known as fixed costs.
Thus, TC = 18140.1 - 8255.1*Q + 715.7857143*Q^2
FC = Fixed Cost = 18140.1
VC = Variable Cost = - 8255.1*Q + 715.7857143*Q^2
AVC = VC / Q = -8255.1 + 715.7857143*Q
AC = TC / Q = (18140.1/Q) -8255.1 + 715.7857143*Q
MC = dTC/dQ = - 8255.1 + 1431.6*Q
The minimum of AVC:
dAVC/dQ = 715.7857143 > 0
Thus, the minimum of AV
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