Question

I. Output (Q) and Total Cost (TC) numbers are given in cost.xls. Use this data and answer the following questions: Note: Stud
1 93 А в с D 1 Cost data for a lumber mill 2 3 ТС 4 11 5 32 2 6 3 7 248 4 8 575 5 9 1176 6 10 2177 7 11 3728 8 12 6003 9 13 9
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Answer #1

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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