According to the table, plot the AFC, AVC, ATC, MC curves using excel. ATC MC4 Q TFC AFC vc | AVC TC1202202001200200120120320190.6 2 200 1007 3110420210100180-200 66.664 2009 510 6305 101.7505 168.385170.850375 93.75575 143.870160..200404358763512760150.20033.3485 80.83680 144.250.140..117200 28.5752578725 103.65013012 820025560707609535120..13 9200 22.22595 66.11795 88.333511014 102002063063830883510015 1116 1220018.18670 60.9870 79.09409020016.672060920 75.66508017 13 20015.3878060980 75.38607018 1420014.28855 61.071055 75.35656019 15 200 13.3320 1621 17 200 11.76940 62.66104076855020012.51035 64.681235 77.1895401145 67.381345 79.111103022 1820011.111270 70.551470 81.661202023 1920010.521410 74.211610 84.731401024 20200101565 78.251765 88.25155

Table prepared in The Excel sheet

4 Q TFC | AFC vc | AVC TC 5 1 200 6 2 200 7 3 200 | 66.66 ATC MC 200 200 120 120 120 320 190 220 110 305 101.7 100 420 210 100 180- 505 168.3 85 170- 8 4 200 375 93.75 575 143.8 70 160. 5 200 10 6 200 11 7 200 12 8 200 13 9 200 14 10 200 15 11 200 18.18 16 12 200 17 13 200 18 14 200 14.28 19 15 200 13.33 20 16 200 12.5 21 17 200| 11.76 22 18 200 11.11 23 19 200 10.52 24 20 200 9 40 435 87 635 127 60 150 33.3 485 80.83 680 144.2 50 140 28.57 525 78 725 103.6 50 130 25 560 70 760 95 35 120 22.22 595 66.11 795 88.33 35 110. 20 630 63 830 88 35 100. 670 60.9 870 79.09 40 90 16.6 720 60 920 75.66 50 80 15.38 780 60 980 75.38 60 70 855 61.07 1055 75.35 65 60 940 62.66 1040 76 85 50 1035 64.68 1235 77.18 95 40 1145 67.38 1345 79.11 110 30 1270 70.55 1470 81.66 120 20 1410 74.21 1610 84.73 140 10 10 1565 78.25 1765 88.25 155

4 Q TFC | AFC vc | AVC TC 5 1 200 6 2 200 7 3 200 | 66.66 ATC MC 200 200 120 120 120 320 190 220 110 305 101.7 100 420 210 100 180- 505 168.3 85 170- 8 4 200 375 93.75 575 143.8 70 160. 5 200 10 6 200 11 7 200 12 8 200 13 9 200 14 10 200 15 11 200 18.18 16 12 200 17 13 200 18 14 200 14.28 19 15 200 13.33 20 16 200 12.5 21 17 200| 11.76 22 18 200 11.11 23 19 200 10.52 24 20 200 9 40 435 87 635 127 60 150 33.3 485 80.83 680 144.2 50 140 28.57 525 78 725 103.6 50 130 25 560 70 760 95 35 120 22.22 595 66.11 795 88.33 35 110. 20 630 63 830 88 35 100. 670 60.9 870 79.09 40 90 16.6 720 60 920 75.66 50 80 15.38 780 60 980 75.38 60 70 855 61.07 1055 75.35 65 60 940 62.66 1040 76 85 50 1035 64.68 1235 77.18 95 40 1145 67.38 1345 79.11 110 30 1270 70.55 1470 81.66 120 20 1410 74.21 1610 84.73 140 10 10 1565 78.25 1765 88.25 155

ENGR.ECONOMIC ANALYSIS

14th Edition

ISBN:9780190931919

Author:NEWNAN

Publisher:NEWNAN

Chapter1: Making Economics Decisions

Section: Chapter Questions

Problem 1QTC

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Activity Frame A 2191 A 1878 1565 n 1252 939 626 0 A + + 0 5 10 TOTAL REVENUE (Dollars) 3130 2817 2504 MARGINAL REVENUE (Dollars) 313 Calculate the total revenue if the firm produces 10 versus 9 units. Then, calculate the marginal revenue of the 10th unit produced. The marginal revenue of the 10th unit produced is $ Calculate the total revenue if the firm produces 20 versus 19 units. Then, calculate the marginal revenue of the 20th unit produced. The marginal revenue of the 20th unit produced is $ 250 Based on your answers from the previous question, and assuming that the marginal revenue curve is a straight line, use the black line (plus symbol) to plot the firm's marginal revenue curve on the following graph. 225 200 175 150 125 100 75 50 25 0 15 20 25 30 35 40 QUANTITY (Number of units) -25 -50 0 A 45 50 5 10 15 Total Revenue 20 25 30 35 QUANTITY (Units) 40 45 50 Marginal Revenue (?) Comparing your total revenue graph to your marginal revenue graph, you can see that total revenue is…
FloorArea (Sq.Ft.) Offices Entrances Age AssessedValue ($'000) 4790 4 2 8 1796 4720 3 2 12 1544 5940 4 2 2 2094 5720 4 2 34 1968 3660 3 2 38 1567 5000 4 2 31 1878 2990 2 1 19 949 2610 2 1 48 910 5650 4 2 42 1774 3570 2 1 4 1187 2930 3 2 15 1113 1280 2 1 31 671 4880 3 2 42 1678 1620 1 2 35 710 1820 2 1 17 678 4530 2 2 5 1585 2570 2 1 13 842 4690 2 2 45 1539 1280 1 1 45 433 4100 3 1 27 1268 3530 2 2 41 1251 3660 2 2 33 1094 1110 1 2 50 638 2670 2 2 39 999 1100 1 1 20 653 5810 4 3 17 1914 2560 2 2 24 772 2340 3 1 5 890 3690 2 2 15 1282 3580 3 2 27 1264 3610 2 1 8 1162 3960 3 2 17 1447 What is the final model if we only use FloorArea and Offices as predictors?