The data for this assignment comes from household surveys carried out on a small island in Eastern Indonisa. The island, Selayar Island, is located in South Sulawesi, has two main industries: fishing and agriculture. We will be focusing of fishing activities occurring nearshore. Nearshore fishing takes place over coral reef, seagrass, and mangrove habitat. The most common fishing gear include spear guns, pole and lines, and nets. The boats used for fishing range from small canoes to small boats. The data was collected using a randomn sampling technique, and includes 152 fishing households.
Each fishing household was allowed to describe up to 6 different types of fishing trips. Researchers collected information on the âaverge tripâ. A subset of the data has been provided, in a .csv file named: âPS3_NearshoreFishing.csvâ.
Description of variables:
HouseholdID: Unique identification number used to protect the identity of respondents
Poor: Indicates poor and non-poor households, as defined by the Indonesian National Poverty Line ($0.83 per capita per day).
Poor = 1 if household income is less than the INPL
= 0 if household income is more than the INPL
Quantity: The quantity of average harvest during one trip, in 10,000 Rp (currency)
For example, if average trip harvest is 2 kg of Grouper, and Grouper price is 20,000 Rp/kg, then Quantity of the trip is 40
Hours: The number of person hours spent fishing per trip, in hours.
For example, if average trip includes 3 fishermen, and each fishermen spends 3 hours fishing, then Hours of the trip is 9 person hours.
Capital: The value of capital used up during the average trip, in 10,000 Rp.
You can think of this like depreciation of all gear and boats used during a trip
Part 1:
(Model 1)
log(Quantityi)= b0 + b1log(Capitali) + b2log(Hoursi) + ei
1. Estimate the basic production model and report regression results. Include coefficients, standard errors, and t-statics. (Note: You will have to create new variables for estimation)
2. Based on your results, what is the marginal reurns to hours spent fishing? Be careful to interpret coefficient on log-transformed variables correctly.
3. Does the estimated production function have constant returns to scale, decreasing returns to scale, or increasing returns to scale? How do you know?
4. Using single hypothesis tests, which coefficients are significantly different than zero at a 5% significiance level?
5. Use Whiteâs Test to test for heteroskedasticity. Report results and evaluate the results.
Help with the following problems that deal with the program stata and with econometrics.
Below is the data needed.
HouseholdID Poor Quantity Hours Capital 125465 0 25.4 8 0.796489877 130552 0 28.6 6 1.174603175 130552 0 9.1 4 2.222222222 127524 0 5 1 0.36544481 130538 1 10 6 2.008032129 130558 1 18.75 28 14.17848124 130462 1 14.4 2 0.487684729 126466 0 14.1 6 4.619435291 127474 1 13 3 0.367063492 127498 1 6 3 0.568124297 127471 0 12 5 0.115421137 127493 1 2.1 8 0.123444444 130561 0 39.6 3 0.289115646 130562 0 8 6 1.554278416 127532 1 41.7 6 0.738153469 127532 1 62.9 6 4.832562392 127495 0 7.65 3.5 0.116631206 127495 0 11.6 4 0.148772937 130524 1 2.95 10 0.706882255 130524 1 2.95 10 0.706882255 130564 0 14 14 1.495345632 127505 0 21.6 4 1.252053872 135460 1 21.5 4 0.757665094 131482 0 42.5 10 1.959625576 130560 0 15.3 4 0.697751323 128510 0 6 3 0.002311604 128510 0 4 2.5 0.416666667 128480 1 3.9 10 1.237449199 128480 1 4.4 10 1.237449199 128480 1 3.5 6 0.722079449 132456 0 8.5 5 0.177372685 132456 0 16.25 3 0.106423611 135486 0 21.5 11 3.665322581 135486 0 52.5 6 0.836021505 134524 0 33 7 1.242139722 135488 0 19.8 5 1.217105263 134460 0 84.4 3 3.824833703 131479 0 4 4.5 0.061111111 131465 0 8.5 1.5 0.39040198 128491 0 3.8 6 2.53815261 141514 1 1.4 6 0.946825397 134484 0 151.2 7 0.552428601 134484 0 71.2 6 0.479205754 141459 0 6.7 4 1.955605159 128473 0 70.7 5.5 0.553802416 128475 0 14.5 4 0.807217474 135520 0 2.5 4 1.041666667 135512 0 13.1 1 5.561594203 135512 0 3.3 2 0.650164062 134513 0 16.4 1 3.680053548 135469 1 18 13 1.979166667 132520 1 5.0625 2 0.395197395 134523 1 32.2 7 0.684749501 134497 0 10.76 5 3.18869165 129478 0 45.5 5.5 2.511574074 141461 0 25.6 2.5 4.849261849 141461 0 36.6 2.5 0.599912165 134503 0 30.6 8 1.214055483 128506 0 13.8 4 9.222222222 128506 0 19 4 9.222222222 130563 0 183.5 4 27.46449975 129488 0 215.1 1134 168.6111111 128487 0 4.5 1 0.000559284 129461 0 244 360 35.33333333 128496 0 1150 504 475.7380952 173468 0 2455 3366 1729.189322 134499 0 199 4 1.204772678 129466 0 4.5 3 2.773530545 145508 1 15 4 0.01460387 145508 1 15 4 0.01460387 134488 0 175 7 2.463414634 129484 0 275.1 2592 201.2685185 129484 0 175.1 1134 167.9891975 141467 0 16.5 2.5 0.270061728 141457 0 8.1 3 0.12021137 141457 0 24.1 4 0.499612792 135475 0 4.75 11 0.229402703 129498 0 616 830 362.7 134522 0 86.9 3 1.51324121 128477 0 9.4 5 1.626364087 141468 0 91.7 0.5 0.983115468 135489 1 18 8 3.206349206 134510 0 644.2 210 175.3837719 128457 0 3.5 2 0.509259259 134462 0 84.6 6 2.877641939 141509 1 23.2 2 2.640595716 129463 0 331 384 47.38180577 135514 1 18.6 2 8.338907469 135514 1 36.6 1 2.719893807 129485 0 4 7 0.833333333 129485 0 71.5 80 5.716746662 132529 1 7.8 3 1.024350649 132529 1 3.5 2 1.794733045 132529 1 1.5 3 0.861688312 145478 1 10.1 6 0.125 139510 1 12.5 10 6.041666667 134470 0 112 6 2.621527778 134496 0 279.7 4 4.799723021 134495 0 69 6 0.693735987 141460 0 60 2 1.272727273 135509 0 132.6 5 1.686077644 135506 0 10.5 3 0.295375197 134514 0 147.55 4 0.369502642 134514 0 147.55 4 0.369502642 134474 0 234.8 6 1.269918699 133503 0 6 3 1.095290252 133503 0 5.6 3 0.111111111 128460 0 15.5 5 0.306275676 128460 0 11.5 4 0.312922038 129501 0 500.5 483 74.36528749 129479 1 91 85 10.75104488 123490 1 15.75 5 1.35 123463 0 35.5 6 0.5 125465 0 18.5 6 0.568024685 127468 0 5.5 3.5 0.111111111 130552 0 13.1 2 1.166666667 130514 0 6.5 4 0.680555556 127524 0 14.5 5 2.532393505 130558 1 28 32 14.18542569 130516 0 3.5 4 0.208333333 130462 1 6.8 3 0.674055829 126466 0 12.6 2 4.592549518 127485 0 4.2 12 2.191666667 127485 0 10.2 6 1.186111111 130457 0 15 8 7.291666667 127474 1 10.5 3 0.724206349 127498 1 4.25 3 0.053412073 127498 1 3.5 3 0.053412073 127471 0 17.1 8 4.690142913 127471 0 12.3 4 2.311659648 127471 0 2.5 2 1.666666667 127493 1 2.1 8 0.123444444 130561 0 38.7 3 0.289115646 130561 0 16.5 3 11.33333333 127478 0 119.5 10 3.857877016 127478 0 30.5 6 2.170875421 127532 1 42.7 6 0.622768853 127532 1 38.7 6 6.971699297 127467 0 4.5 4 0.499600497 127467 0 9.1 3.5 0.366892361 127495 0 3.1 3.5 0.110797872 127495 0 9.9 3 0.114859845 130524 1 2.45 10 0.706882255 130524 1 2.45 10 0.706882255 130564 0 3814 3332 854.4818928 127505 0 14.5 3.5 2.491380471 135460 1 10 4 0.757665094 135460 1 20 14 0.484052111 131482 0 23.6 5 0.360957057 131482 0 67.9 6 0.416712483 130560 0 14 3 0.922110297 128510 0 504.6 1440 228.8873478 128510 0 6.3 2.5 0.416666667 128480 1 3.5 8 0.928789147 128480 1 49 70 33.6678911 132456 0 14.5 5 0.474991733 132456 0 8.75 5 0.177372685 132531 0 1.75 7 0.333333333 134524 0 33 7 1.116770991 134524 0 17 8 1.318727966 132513 0 1.5625 5 0.083333333 133494 0 2.875 2.5 0.5 135488 0 19.8 5 1.217105263 134460 0 40.8 3 3.824833703 128509 0 4216 2880 975.4285714 131479 0 2.35 4.5 0.42333225 131465 0 73 11.5 3.398356695 128491 0 6.4 3 1.871485944 141514 1 7.75 6 0.946825397 134484 0 91.7 7 0.962685011 134484 0 141.2 6 0.479205754 141459 0 12.2 4 1.955605159 128473 0 31.8 11 5.15297619 128481 0 852 810 49.09259259 128475 0 15.4 4 0.807217474 140461 1 4.7 5 1.183343855 128476 0 47 14 1.406476684 144544 0 21.2 2 0.866714015 135496 0 157.5 5 2.321399233 135496 0 59.8 5 2.003217415 134513 0 15.4 1 3.680053548 134523 1 28 40 3.667270345 144562 0 18.5 3 3.87254902 144562 0 11.4 3 2.086834734 134497 0 16.4 4 2.740795529 141461 0 34.1 2.5 4.849261849 141461 0 91.1 10 2.327184892 134503 0 29.6 8 1.214055483 128506 0 1271 1152 801 135497 0 0.75 1 0.221153846 141495 0 29 5 1.555555556 130563 0 252.5 8 36.62834591 141505 0 0.8 3 0.488855699 141505 0 0.8 3 0.513748468 133497 0 10 3 0.011904762 129488 0 210.5 1134 168.6111111 129461 0 722 720 70.66666667 128496 0 1150 504 475.7380952 173468 0 2882.5 1600 786.019471 145508 1 18.5 5 0.018254838 145508 1 16.65 5 0.018254838 134488 0 35 7 2.463414634 129484 0 371 2430 188.7268519 141467 0 25.65 2 1.158035714 141467 0 12.15 6.5 2.02808642 141457 0 19.8 3 0.167764213 141457 0 14.1 2 0.267971028 135475 0 5.75 10.5 0.22358875 129498 0 1068 830 362.7 134522 0 42.4 4 1.889213987 128477 0 7.6 6 1.919229497 144504 0 20.4 6 1.648461358 141468 0 35.65 0.5 0.983115468 135489 1 17.8 8 3.206349206 134510 0 384.7 90 75.16447368 128457 0 10 2 0.509259259 134462 0 114.6 7 2.918652438 141509 1 7.9 2 5.150635877 131485 0 6.75 8 2.973157134 131485 0 6.5 9 3.271105631 129463 0 1977.4 1848 224.9850657 135514 1 121.2 10 7.021349862 129485 0 1815 1296 80.22182224 132529 1 2.35 2.5 2.223124098 132529 1 7.6 2 1.875901876 132529 1 8.5 7 1.577705628 135502 0 31.2 4 0.320555556 132508 0 3.125 2.5 0.083333333 133479 0 26.7 2 4.126984127 134470 0 96 6 0.520833333 134496 0 114.8 7 2.416368587 134495 0 43 9 0.63703001 141460 0 23 2 1.272727273 132498 0 8 2 5.555555556 129497 0 2206 2880 955.3703704 129497 0 9.1 1.5 3.888888889 135509 0 2.6 5 0.942994199 135506 0 23.75 3 0.318339994 134514 0 37.55 7 0.596927834 134514 0 37.55 5 0.445311039 134474 0 114.75 6 1.269918699 133503 0 9 4 1.460387003 133503 0 6 3 0.111111111 128460 0 13.5 5 0.306275676 144502 0 6 3 0.644824673 129501 0 1280.2 672 123.9083139 129479 1 112 833 100.6137228 129511 0 231 60 0.02
The data for this assignment comes from household surveys carried out on a small island in Eastern Indonisa. The island, Selayar Island, is located in South Sulawesi, has two main industries: fishing and agriculture. We will be focusing of fishing activities occurring nearshore. Nearshore fishing takes place over coral reef, seagrass, and mangrove habitat. The most common fishing gear include spear guns, pole and lines, and nets. The boats used for fishing range from small canoes to small boats. The data was collected using a randomn sampling technique, and includes 152 fishing households.
Each fishing household was allowed to describe up to 6 different types of fishing trips. Researchers collected information on the âaverge tripâ. A subset of the data has been provided, in a .csv file named: âPS3_NearshoreFishing.csvâ.
Description of variables:
HouseholdID: Unique identification number used to protect the identity of respondents
Poor: Indicates poor and non-poor households, as defined by the Indonesian National Poverty Line ($0.83 per capita per day).
Poor = 1 if household income is less than the INPL
= 0 if household income is more than the INPL
Quantity: The quantity of average harvest during one trip, in 10,000 Rp (currency)
For example, if average trip harvest is 2 kg of Grouper, and Grouper price is 20,000 Rp/kg, then Quantity of the trip is 40
Hours: The number of person hours spent fishing per trip, in hours.
For example, if average trip includes 3 fishermen, and each fishermen spends 3 hours fishing, then Hours of the trip is 9 person hours.
Capital: The value of capital used up during the average trip, in 10,000 Rp.
You can think of this like depreciation of all gear and boats used during a trip
Part 1:
(Model 1)
log(Quantityi)= b0 + b1log(Capitali) + b2log(Hoursi) + ei
1. Estimate the basic production model and report regression results. Include coefficients, standard errors, and t-statics. (Note: You will have to create new variables for estimation)
2. Based on your results, what is the marginal reurns to hours spent fishing? Be careful to interpret coefficient on log-transformed variables correctly.
3. Does the estimated production function have constant returns to scale, decreasing returns to scale, or increasing returns to scale? How do you know?
4. Using single hypothesis tests, which coefficients are significantly different than zero at a 5% significiance level?
5. Use Whiteâs Test to test for heteroskedasticity. Report results and evaluate the results.
Help with the following problems that deal with the program stata and with econometrics.
Below is the data needed.
| HouseholdID | Poor | Quantity | Hours | Capital |
| 125465 | 0 | 25.4 | 8 | 0.796489877 |
| 130552 | 0 | 28.6 | 6 | 1.174603175 |
| 130552 | 0 | 9.1 | 4 | 2.222222222 |
| 127524 | 0 | 5 | 1 | 0.36544481 |
| 130538 | 1 | 10 | 6 | 2.008032129 |
| 130558 | 1 | 18.75 | 28 | 14.17848124 |
| 130462 | 1 | 14.4 | 2 | 0.487684729 |
| 126466 | 0 | 14.1 | 6 | 4.619435291 |
| 127474 | 1 | 13 | 3 | 0.367063492 |
| 127498 | 1 | 6 | 3 | 0.568124297 |
| 127471 | 0 | 12 | 5 | 0.115421137 |
| 127493 | 1 | 2.1 | 8 | 0.123444444 |
| 130561 | 0 | 39.6 | 3 | 0.289115646 |
| 130562 | 0 | 8 | 6 | 1.554278416 |
| 127532 | 1 | 41.7 | 6 | 0.738153469 |
| 127532 | 1 | 62.9 | 6 | 4.832562392 |
| 127495 | 0 | 7.65 | 3.5 | 0.116631206 |
| 127495 | 0 | 11.6 | 4 | 0.148772937 |
| 130524 | 1 | 2.95 | 10 | 0.706882255 |
| 130524 | 1 | 2.95 | 10 | 0.706882255 |
| 130564 | 0 | 14 | 14 | 1.495345632 |
| 127505 | 0 | 21.6 | 4 | 1.252053872 |
| 135460 | 1 | 21.5 | 4 | 0.757665094 |
| 131482 | 0 | 42.5 | 10 | 1.959625576 |
| 130560 | 0 | 15.3 | 4 | 0.697751323 |
| 128510 | 0 | 6 | 3 | 0.002311604 |
| 128510 | 0 | 4 | 2.5 | 0.416666667 |
| 128480 | 1 | 3.9 | 10 | 1.237449199 |
| 128480 | 1 | 4.4 | 10 | 1.237449199 |
| 128480 | 1 | 3.5 | 6 | 0.722079449 |
| 132456 | 0 | 8.5 | 5 | 0.177372685 |
| 132456 | 0 | 16.25 | 3 | 0.106423611 |
| 135486 | 0 | 21.5 | 11 | 3.665322581 |
| 135486 | 0 | 52.5 | 6 | 0.836021505 |
| 134524 | 0 | 33 | 7 | 1.242139722 |
| 135488 | 0 | 19.8 | 5 | 1.217105263 |
| 134460 | 0 | 84.4 | 3 | 3.824833703 |
| 131479 | 0 | 4 | 4.5 | 0.061111111 |
| 131465 | 0 | 8.5 | 1.5 | 0.39040198 |
| 128491 | 0 | 3.8 | 6 | 2.53815261 |
| 141514 | 1 | 1.4 | 6 | 0.946825397 |
| 134484 | 0 | 151.2 | 7 | 0.552428601 |
| 134484 | 0 | 71.2 | 6 | 0.479205754 |
| 141459 | 0 | 6.7 | 4 | 1.955605159 |
| 128473 | 0 | 70.7 | 5.5 | 0.553802416 |
| 128475 | 0 | 14.5 | 4 | 0.807217474 |
| 135520 | 0 | 2.5 | 4 | 1.041666667 |
| 135512 | 0 | 13.1 | 1 | 5.561594203 |
| 135512 | 0 | 3.3 | 2 | 0.650164062 |
| 134513 | 0 | 16.4 | 1 | 3.680053548 |
| 135469 | 1 | 18 | 13 | 1.979166667 |
| 132520 | 1 | 5.0625 | 2 | 0.395197395 |
| 134523 | 1 | 32.2 | 7 | 0.684749501 |
| 134497 | 0 | 10.76 | 5 | 3.18869165 |
| 129478 | 0 | 45.5 | 5.5 | 2.511574074 |
| 141461 | 0 | 25.6 | 2.5 | 4.849261849 |
| 141461 | 0 | 36.6 | 2.5 | 0.599912165 |
| 134503 | 0 | 30.6 | 8 | 1.214055483 |
| 128506 | 0 | 13.8 | 4 | 9.222222222 |
| 128506 | 0 | 19 | 4 | 9.222222222 |
| 130563 | 0 | 183.5 | 4 | 27.46449975 |
| 129488 | 0 | 215.1 | 1134 | 168.6111111 |
| 128487 | 0 | 4.5 | 1 | 0.000559284 |
| 129461 | 0 | 244 | 360 | 35.33333333 |
| 128496 | 0 | 1150 | 504 | 475.7380952 |
| 173468 | 0 | 2455 | 3366 | 1729.189322 |
| 134499 | 0 | 199 | 4 | 1.204772678 |
| 129466 | 0 | 4.5 | 3 | 2.773530545 |
| 145508 | 1 | 15 | 4 | 0.01460387 |
| 145508 | 1 | 15 | 4 | 0.01460387 |
| 134488 | 0 | 175 | 7 | 2.463414634 |
| 129484 | 0 | 275.1 | 2592 | 201.2685185 |
| 129484 | 0 | 175.1 | 1134 | 167.9891975 |
| 141467 | 0 | 16.5 | 2.5 | 0.270061728 |
| 141457 | 0 | 8.1 | 3 | 0.12021137 |
| 141457 | 0 | 24.1 | 4 | 0.499612792 |
| 135475 | 0 | 4.75 | 11 | 0.229402703 |
| 129498 | 0 | 616 | 830 | 362.7 |
| 134522 | 0 | 86.9 | 3 | 1.51324121 |
| 128477 | 0 | 9.4 | 5 | 1.626364087 |
| 141468 | 0 | 91.7 | 0.5 | 0.983115468 |
| 135489 | 1 | 18 | 8 | 3.206349206 |
| 134510 | 0 | 644.2 | 210 | 175.3837719 |
| 128457 | 0 | 3.5 | 2 | 0.509259259 |
| 134462 | 0 | 84.6 | 6 | 2.877641939 |
| 141509 | 1 | 23.2 | 2 | 2.640595716 |
| 129463 | 0 | 331 | 384 | 47.38180577 |
| 135514 | 1 | 18.6 | 2 | 8.338907469 |
| 135514 | 1 | 36.6 | 1 | 2.719893807 |
| 129485 | 0 | 4 | 7 | 0.833333333 |
| 129485 | 0 | 71.5 | 80 | 5.716746662 |
| 132529 | 1 | 7.8 | 3 | 1.024350649 |
| 132529 | 1 | 3.5 | 2 | 1.794733045 |
| 132529 | 1 | 1.5 | 3 | 0.861688312 |
| 145478 | 1 | 10.1 | 6 | 0.125 |
| 139510 | 1 | 12.5 | 10 | 6.041666667 |
| 134470 | 0 | 112 | 6 | 2.621527778 |
| 134496 | 0 | 279.7 | 4 | 4.799723021 |
| 134495 | 0 | 69 | 6 | 0.693735987 |
| 141460 | 0 | 60 | 2 | 1.272727273 |
| 135509 | 0 | 132.6 | 5 | 1.686077644 |
| 135506 | 0 | 10.5 | 3 | 0.295375197 |
| 134514 | 0 | 147.55 | 4 | 0.369502642 |
| 134514 | 0 | 147.55 | 4 | 0.369502642 |
| 134474 | 0 | 234.8 | 6 | 1.269918699 |
| 133503 | 0 | 6 | 3 | 1.095290252 |
| 133503 | 0 | 5.6 | 3 | 0.111111111 |
| 128460 | 0 | 15.5 | 5 | 0.306275676 |
| 128460 | 0 | 11.5 | 4 | 0.312922038 |
| 129501 | 0 | 500.5 | 483 | 74.36528749 |
| 129479 | 1 | 91 | 85 | 10.75104488 |
| 123490 | 1 | 15.75 | 5 | 1.35 |
| 123463 | 0 | 35.5 | 6 | 0.5 |
| 125465 | 0 | 18.5 | 6 | 0.568024685 |
| 127468 | 0 | 5.5 | 3.5 | 0.111111111 |
| 130552 | 0 | 13.1 | 2 | 1.166666667 |
| 130514 | 0 | 6.5 | 4 | 0.680555556 |
| 127524 | 0 | 14.5 | 5 | 2.532393505 |
| 130558 | 1 | 28 | 32 | 14.18542569 |
| 130516 | 0 | 3.5 | 4 | 0.208333333 |
| 130462 | 1 | 6.8 | 3 | 0.674055829 |
| 126466 | 0 | 12.6 | 2 | 4.592549518 |
| 127485 | 0 | 4.2 | 12 | 2.191666667 |
| 127485 | 0 | 10.2 | 6 | 1.186111111 |
| 130457 | 0 | 15 | 8 | 7.291666667 |
| 127474 | 1 | 10.5 | 3 | 0.724206349 |
| 127498 | 1 | 4.25 | 3 | 0.053412073 |
| 127498 | 1 | 3.5 | 3 | 0.053412073 |
| 127471 | 0 | 17.1 | 8 | 4.690142913 |
| 127471 | 0 | 12.3 | 4 | 2.311659648 |
| 127471 | 0 | 2.5 | 2 | 1.666666667 |
| 127493 | 1 | 2.1 | 8 | 0.123444444 |
| 130561 | 0 | 38.7 | 3 | 0.289115646 |
| 130561 | 0 | 16.5 | 3 | 11.33333333 |
| 127478 | 0 | 119.5 | 10 | 3.857877016 |
| 127478 | 0 | 30.5 | 6 | 2.170875421 |
| 127532 | 1 | 42.7 | 6 | 0.622768853 |
| 127532 | 1 | 38.7 | 6 | 6.971699297 |
| 127467 | 0 | 4.5 | 4 | 0.499600497 |
| 127467 | 0 | 9.1 | 3.5 | 0.366892361 |
| 127495 | 0 | 3.1 | 3.5 | 0.110797872 |
| 127495 | 0 | 9.9 | 3 | 0.114859845 |
| 130524 | 1 | 2.45 | 10 | 0.706882255 |
| 130524 | 1 | 2.45 | 10 | 0.706882255 |
| 130564 | 0 | 3814 | 3332 | 854.4818928 |
| 127505 | 0 | 14.5 | 3.5 | 2.491380471 |
| 135460 | 1 | 10 | 4 | 0.757665094 |
| 135460 | 1 | 20 | 14 | 0.484052111 |
| 131482 | 0 | 23.6 | 5 | 0.360957057 |
| 131482 | 0 | 67.9 | 6 | 0.416712483 |
| 130560 | 0 | 14 | 3 | 0.922110297 |
| 128510 | 0 | 504.6 | 1440 | 228.8873478 |
| 128510 | 0 | 6.3 | 2.5 | 0.416666667 |
| 128480 | 1 | 3.5 | 8 | 0.928789147 |
| 128480 | 1 | 49 | 70 | 33.6678911 |
| 132456 | 0 | 14.5 | 5 | 0.474991733 |
| 132456 | 0 | 8.75 | 5 | 0.177372685 |
| 132531 | 0 | 1.75 | 7 | 0.333333333 |
| 134524 | 0 | 33 | 7 | 1.116770991 |
| 134524 | 0 | 17 | 8 | 1.318727966 |
| 132513 | 0 | 1.5625 | 5 | 0.083333333 |
| 133494 | 0 | 2.875 | 2.5 | 0.5 |
| 135488 | 0 | 19.8 | 5 | 1.217105263 |
| 134460 | 0 | 40.8 | 3 | 3.824833703 |
| 128509 | 0 | 4216 | 2880 | 975.4285714 |
| 131479 | 0 | 2.35 | 4.5 | 0.42333225 |
| 131465 | 0 | 73 | 11.5 | 3.398356695 |
| 128491 | 0 | 6.4 | 3 | 1.871485944 |
| 141514 | 1 | 7.75 | 6 | 0.946825397 |
| 134484 | 0 | 91.7 | 7 | 0.962685011 |
| 134484 | 0 | 141.2 | 6 | 0.479205754 |
| 141459 | 0 | 12.2 | 4 | 1.955605159 |
| 128473 | 0 | 31.8 | 11 | 5.15297619 |
| 128481 | 0 | 852 | 810 | 49.09259259 |
| 128475 | 0 | 15.4 | 4 | 0.807217474 |
| 140461 | 1 | 4.7 | 5 | 1.183343855 |
| 128476 | 0 | 47 | 14 | 1.406476684 |
| 144544 | 0 | 21.2 | 2 | 0.866714015 |
| 135496 | 0 | 157.5 | 5 | 2.321399233 |
| 135496 | 0 | 59.8 | 5 | 2.003217415 |
| 134513 | 0 | 15.4 | 1 | 3.680053548 |
| 134523 | 1 | 28 | 40 | 3.667270345 |
| 144562 | 0 | 18.5 | 3 | 3.87254902 |
| 144562 | 0 | 11.4 | 3 | 2.086834734 |
| 134497 | 0 | 16.4 | 4 | 2.740795529 |
| 141461 | 0 | 34.1 | 2.5 | 4.849261849 |
| 141461 | 0 | 91.1 | 10 | 2.327184892 |
| 134503 | 0 | 29.6 | 8 | 1.214055483 |
| 128506 | 0 | 1271 | 1152 | 801 |
| 135497 | 0 | 0.75 | 1 | 0.221153846 |
| 141495 | 0 | 29 | 5 | 1.555555556 |
| 130563 | 0 | 252.5 | 8 | 36.62834591 |
| 141505 | 0 | 0.8 | 3 | 0.488855699 |
| 141505 | 0 | 0.8 | 3 | 0.513748468 |
| 133497 | 0 | 10 | 3 | 0.011904762 |
| 129488 | 0 | 210.5 | 1134 | 168.6111111 |
| 129461 | 0 | 722 | 720 | 70.66666667 |
| 128496 | 0 | 1150 | 504 | 475.7380952 |
| 173468 | 0 | 2882.5 | 1600 | 786.019471 |
| 145508 | 1 | 18.5 | 5 | 0.018254838 |
| 145508 | 1 | 16.65 | 5 | 0.018254838 |
| 134488 | 0 | 35 | 7 | 2.463414634 |
| 129484 | 0 | 371 | 2430 | 188.7268519 |
| 141467 | 0 | 25.65 | 2 | 1.158035714 |
| 141467 | 0 | 12.15 | 6.5 | 2.02808642 |
| 141457 | 0 | 19.8 | 3 | 0.167764213 |
| 141457 | 0 | 14.1 | 2 | 0.267971028 |
| 135475 | 0 | 5.75 | 10.5 | 0.22358875 |
| 129498 | 0 | 1068 | 830 | 362.7 |
| 134522 | 0 | 42.4 | 4 | 1.889213987 |
| 128477 | 0 | 7.6 | 6 | 1.919229497 |
| 144504 | 0 | 20.4 | 6 | 1.648461358 |
| 141468 | 0 | 35.65 | 0.5 | 0.983115468 |
| 135489 | 1 | 17.8 | 8 | 3.206349206 |
| 134510 | 0 | 384.7 | 90 | 75.16447368 |
| 128457 | 0 | 10 | 2 | 0.509259259 |
| 134462 | 0 | 114.6 | 7 | 2.918652438 |
| 141509 | 1 | 7.9 | 2 | 5.150635877 |
| 131485 | 0 | 6.75 | 8 | 2.973157134 |
| 131485 | 0 | 6.5 | 9 | 3.271105631 |
| 129463 | 0 | 1977.4 | 1848 | 224.9850657 |
| 135514 | 1 | 121.2 | 10 | 7.021349862 |
| 129485 | 0 | 1815 | 1296 | 80.22182224 |
| 132529 | 1 | 2.35 | 2.5 | 2.223124098 |
| 132529 | 1 | 7.6 | 2 | 1.875901876 |
| 132529 | 1 | 8.5 | 7 | 1.577705628 |
| 135502 | 0 | 31.2 | 4 | 0.320555556 |
| 132508 | 0 | 3.125 | 2.5 | 0.083333333 |
| 133479 | 0 | 26.7 | 2 | 4.126984127 |
| 134470 | 0 | 96 | 6 | 0.520833333 |
| 134496 | 0 | 114.8 | 7 | 2.416368587 |
| 134495 | 0 | 43 | 9 | 0.63703001 |
| 141460 | 0 | 23 | 2 | 1.272727273 |
| 132498 | 0 | 8 | 2 | 5.555555556 |
| 129497 | 0 | 2206 | 2880 | 955.3703704 |
| 129497 | 0 | 9.1 | 1.5 | 3.888888889 |
| 135509 | 0 | 2.6 | 5 | 0.942994199 |
| 135506 | 0 | 23.75 | 3 | 0.318339994 |
| 134514 | 0 | 37.55 | 7 | 0.596927834 |
| 134514 | 0 | 37.55 | 5 | 0.445311039 |
| 134474 | 0 | 114.75 | 6 | 1.269918699 |
| 133503 | 0 | 9 | 4 | 1.460387003 |
| 133503 | 0 | 6 | 3 | 0.111111111 |
| 128460 | 0 | 13.5 | 5 | 0.306275676 |
| 144502 | 0 | 6 | 3 | 0.644824673 |
| 129501 | 0 | 1280.2 | 672 | 123.9083139 |
| 129479 | 1 | 112 | 833 | 100.6137228 |
| 129511 | 0 | 231 | 60 | 0.02 |
