13 Managerial Economics Name of the Student Name of the University
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Added on 2020-04-21
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Managerial ECONOMICS MANAGERIAL ECONOMICS 13 Managerial Economics Name of the Student Name of the University Author note Answer 1 2 Answer a 2 Answer b 3 Answer c 3 Answer 2 4 Answer a 4 Answer b 6 Answer b 6 Answer c 7 Answer 3 9 Answer a 9 Answer b 10 Answer 5 10 Answer a 10 Answer b 10 Answer 6 10 Answer 7 12 Answer 1 Answer a Regression Statistics Multiple R 0.80 R Square 0.63 Adjusted R Square 0.60 Standard Error 7.7
13 Managerial Economics Name of the Student Name of the University
Added on 2020-04-21
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Running head: MANAGERIAL ECONOMICS Managerial Economics Name of the Student Name of the University Author note
2MANAGERIAL ECONOMICS Answer 1 Answer a Regression Statistics Multiple R0.80 R Square0.63 Adjusted R Square0.60 Standard Error7.73 Observations 26.0 0 ANOVA df SS MS FSignificance F Regression2.002387.501193.7519.970.00 Residual23.001374.5459.76 Total25.003762.04 Coefficient s Standard Errort Stat P- value Lower 95% Upper 95% Intercept152.8816.605 23.14 60.000139.217166.544 Q-0.0610.015-4.1990.000-0.092-0.031 Q20.000020.0002.6930.0130.0000.000 The regression output describes the relation between average variable cost and level of output. The co-efficient of Q is -0.061. The implication of the negative sign before the coefficient is that as output increases initially average variable cost reduces. The statistical significant of regression co efficient is determined by looking at the corresponding P value. If p value is less than 0.05 then the variable is said to be statistically significant at 5% level of significance. Here, p value for Q comes out as 0.0000. Therefore, Q is a significant determinant of average variable cost. The estimated coefficient of Q2is 0.00002. The positive sign depicts a positive relation between cost and output growth. This means a larger Q2
3MANAGERIAL ECONOMICS increasesaveragevariablecost.Comingtoitsstatisticalsignificance,thevariableis statistically significant as its p value is less than 0.05. Answer b From the regression result the average variable cost function is estimated as AVC=152.881−0.061Q+0.00002Q2 Now, TotalVariableCost(TVC)=AVC∗Q Therefore, TVC=Q(a+bQ+CQ2) ¿Q(152.881−0.061Q+0.00002Q2) ¿152.881Q−0.061Q2+0.00002Q3 Marginal cost presents the additional cost of producing one additional unit. From the total average variable cost function the marginal cost function is obtained as MC=d(TVC) dQ ¿d(152.881Q−0.061Q2+0.00002Q3) dQ ¿152.881−0.122Q+0.00006Q2 Answer c AVC = 152.881 – 0.061Q + 0.00002Q2
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