The file MidCity Download MidCitycontains data on 128 recent sales in Mid City. For each sale, the file shows the neighborhood (1, 2, or 3) in which the house is located, the number of offers made on the house, the square footage, whether the house is made primarily of brick, the number of bathrooms, the number of bedrooms, and the selling price. Neighborhoods 1 and 2 are more traditional neighborhoods, whereas neighborhood 3 is a newer, more prestigious neighborhood. PROBLEM 1: Construct 3 different confidence intervals. Part A) Sort and filter the data from the MidCity file so that you only consider the data from neighborhood 1. Construct a 99% confidence interval for the square footage of all homes in neighborhood 1. Make sure you list the specific equations you are using, ALL variables, show ALL work etc., in your report. You can use Excel to complete all computations. Remember to interpret these confidence intervals in the context of this problem. Use one Excel spreadsheet labeled Prob1a to show your work for this problem. Part B) Sort and filter the data from the MidCity file so that you only consider the data from neighborhood 2. Construct a 99% confidence interval for the square footage of all homes in neighborhood 2. Make sure you list the specific equations you are using, ALL variables, show ALL work etc., in your report. You can use Excel to complete all computations. Remember to interpret these confidence intervals in the context of this problem. Use one Excel spreadsheet labeled Prob1b to show your work for this problem. Part C) Sort and filter the data from the MidCity file so that you only consider the data from neighborhood 3. Construct a 99% confidence interval for the population square footage of all homes in neighborhood 3. Make sure you list the specific equations you are using, ALL variables, show ALL work etc., in your report. You can use Excel to complete all computations. Remember to interpret these confidence intervals in the context of this problem. Use one Excel spreadsheet labeled Prob1c to show your work for this problem. Home Nbhd Offers Sq Ft Brick Bedrooms Bathrooms Price 1 2 2 1790 No 2 2 228600 2 2 3 2030 No 4 2 228400 3 2 1 1740 No 3 2 229600 4 2 3 1980 No 3 2 189400 5 2 3 2130 No 3 3 239600 6 1 2 1780 No 3 2 229200 7 3 3 1830 Yes 3 3 303200 8 3 2 2160 No 4 2 301400 9 2 3 2110 No 4 2 238400 10 2 3 1730 No 3 3 208000 11 2 3 2030 Yes 3 2 265000 12 2 2 1870 Yes 2 2 246000 13 1 4 1910 No 3 2 205200 14 1 5 2150 Yes 3 3 252600 15 3 4 2590 No 4 3 353600 16 3 1 1780 No 4 2 291600 17 2 4 2190 Yes 3 3 294200 18 1 4 1990 No 3 3 167200 19 2 1 1700 Yes 2 2 222800 20 3 2 1920 Yes 3 3 334400 21 2 3 1790 No 3 2 232400 22 1 4 2000 No 3 2 227600 23 1 3 1690 No 3 2 183400 24 1 3 1820 Yes 3 2 212200 25 2 2 2210 Yes 4 3 312800 26 1 3 2290 No 4 3 298600 27 3 3 2000 No 4 2 274000 28 2 2 1700 No 3 2 198600 29 1 3 1600 No 2 2 138200 30 3 1 2040 Yes 4 3 376000 31 3 3 2250 Yes 4 3 364000 32 1 2 1930 Yes 2 2 224600 33 2 3 2250 Yes 3 3 270000 34 2 4 2280 Yes 5 3 279200 35 1 3 2000 No 2 2 235600 36 1 3 2080 No 3 3 234200 37 1 2 1880 No 2 2 235000 38 3 4 2420 No 4 3 294000 39 3 1 1720 No 3 2 262600 40 1 2 1740 No 3 2 216400 41 2 1 1560 No 2 2 213200 42 3 2 1840 No 4 3 267200 43 2 3 1990 No 2 2 211200 44 2 1 1920 Yes 3 2 308000 45 3 2 1940 Yes 3 3 333000 46 2 3 1810 No 3 2 206400 47 1 2 1990 No 2 3 259600 48 1 6 2050 No 3 2 180600 49 2 2 1980 No 2 2 231800 50 1 3 1700 Yes 3 2 215000 51 2 3 2100 Yes 3 2 302200 52 1 3 1860 No 2 2 182200 53 1 4 2150 No 2 3 234800 54 1 3 2100 No 3 2 261600 55 1 3 1650 No 3 2 162600 56 2 2 1720 Yes 2 2 251400 57 2 3 2190 Yes 3 2 281800 58 3 3 2240 No 4 3 304600 59 3 1 1840 No 3 3 276200 60 3 1 2090 No 4 2 310800 61 3 1 2200 No 3 3 361800 62 1 2 1610 No 2 2 201800 63 3 2 2220 No 4 3 322600 64 2 2 1910 No 2 3 241000 65 3 2 1860 No 3 2 260600 66 1 1 1450 Yes 2 2 222200 67 1 4 2210 No 3 3 252400 68 2 3 2040 No 4 3 303800 69 1 4 2140 No 3 2 187200 70 3 3 2080 No 4 3 331200 71 3 3 1950 Yes 3 3 333400 72 3 1 2160 No 4 2 315200 73 1 3 1650 No 3 2 214600 74 2 2 2040 No 3 3 251400 75 3 3 2140 No 3 3 288400 76 1 2 1900 No 2 2 213800 77 3 2 1930 No 3 2 259600 78 3 3 2280 Yes 4 3 353000 79 1 3 2130 No 3 2 242600 80 3 1 1780 No 4 2 287200 81 2 4 2190 Yes 3 3 286800 82 3 2 2140 Yes 4 3 368600 83 3 1 2050 Yes 2 2 329600 84 2 2 2410 No 3 3 295400 85 1 3 1520 No 2 2 181000 86 3 2 2250 Yes 4 3 376600 87 1 4 1900 No 4 2 205400 88 3 1 1880 Yes 3 3 345000 89 1 2 1930 No 3 3 255400 90 1 4 2010 No 2 2 195600 91 3 2 1920 No 4 2 286200 92 2 2 2150 No 3 2 233000 93 3 2 2110 No 3 2 285200 94 2 2 2080 No 3 3 314200 95 3 3 2150 Yes 4 3 321200 96 3 1 1970 Yes 2 2 305000 97 2 3 2440 No 3 3 266600 98 2 1 2000 Yes 2 2 253600 99 3 1 2060 No 3 2 291000 100 3 2 2080 Yes 3 3 342000 101 1 5 2010 No 3 2 206400 102 2 5 2260 No 3 3 246200 103 2 4 2410 No 3 3 273600 104 3 3 2440 Yes 4 3 422400 105 2 4 1910 No 3 2 164600 106 3 4 2530 No 4 3 293800 107 1 4 2130 No 3 2 217000 108 2 1 1890 Yes 3 2 268000 109 2 3 1990 Yes 3 3 234000 110 2 3 2110 No 3 2 217400 111 1 1 1710 No 2 2 223200 112 1 2 1740 No 2 2 229800 113 2 2 1940 Yes 2 2 247200 114 1 3 2000 Yes 3 2 231400 115 2 2 2010 No 4 3 249000 116 1 3 1900 No 3 3 205000 117 3 1 2290 Yes 5 4 399000 118 1 2 1920 No 3 2 235600 119 1 3 1950 Yes 3 2 300400 120 1 4 1920 No 2 2 219400 121 1 3 1930 No 2 3 220800 122 2 3 1930 No 3 3 211200 123 2 1 2060 Yes 2 2 289600 124 2 3 1900 Yes 3 3 239400 125 2 3 2160 Yes 4 3 295800 126 1 2 2070 No 2 2 227000 127 3 1 2020 No 3 3 299800 128 1 4 2250 No 3 3 249200
The file MidCity Download MidCitycontains data on 128 recent sales in Mid City. For each sale, the file shows the neighborhood (1, 2, or 3) in which the house is located, the number of offers made on the house, the square footage, whether the house is made primarily of brick, the number of bathrooms, the number of bedrooms, and the selling price. Neighborhoods 1 and 2 are more traditional neighborhoods, whereas neighborhood 3 is a newer, more prestigious neighborhood. PROBLEM 1: Construct 3 different confidence intervals. Part A) Sort and filter the data from the MidCity file so that you only consider the data from neighborhood 1. Construct a 99% confidence interval for the square footage of all homes in neighborhood 1. Make sure you list the specific equations you are using, ALL variables, show ALL work etc., in your report. You can use Excel to complete all computations. Remember to interpret these confidence intervals in the context of this problem. Use one Excel spreadsheet labeled Prob1a to show your work for this problem. Part B) Sort and filter the data from the MidCity file so that you only consider the data from neighborhood 2. Construct a 99% confidence interval for the square footage of all homes in neighborhood 2. Make sure you list the specific equations you are using, ALL variables, show ALL work etc., in your report. You can use Excel to complete all computations. Remember to interpret these confidence intervals in the context of this problem. Use one Excel spreadsheet labeled Prob1b to show your work for this problem. Part C) Sort and filter the data from the MidCity file so that you only consider the data from neighborhood 3. Construct a 99% confidence interval for the population square footage of all homes in neighborhood 3. Make sure you list the specific equations you are using, ALL variables, show ALL work etc., in your report. You can use Excel to complete all computations. Remember to interpret these confidence intervals in the context of this problem. Use one Excel spreadsheet labeled Prob1c to show your work for this problem. Home Nbhd Offers Sq Ft Brick Bedrooms Bathrooms Price 1 2 2 1790 No 2 2 228600 2 2 3 2030 No 4 2 228400 3 2 1 1740 No 3 2 229600 4 2 3 1980 No 3 2 189400 5 2 3 2130 No 3 3 239600 6 1 2 1780 No 3 2 229200 7 3 3 1830 Yes 3 3 303200 8 3 2 2160 No 4 2 301400 9 2 3 2110 No 4 2 238400 10 2 3 1730 No 3 3 208000 11 2 3 2030 Yes 3 2 265000 12 2 2 1870 Yes 2 2 246000 13 1 4 1910 No 3 2 205200 14 1 5 2150 Yes 3 3 252600 15 3 4 2590 No 4 3 353600 16 3 1 1780 No 4 2 291600 17 2 4 2190 Yes 3 3 294200 18 1 4 1990 No 3 3 167200 19 2 1 1700 Yes 2 2 222800 20 3 2 1920 Yes 3 3 334400 21 2 3 1790 No 3 2 232400 22 1 4 2000 No 3 2 227600 23 1 3 1690 No 3 2 183400 24 1 3 1820 Yes 3 2 212200 25 2 2 2210 Yes 4 3 312800 26 1 3 2290 No 4 3 298600 27 3 3 2000 No 4 2 274000 28 2 2 1700 No 3 2 198600 29 1 3 1600 No 2 2 138200 30 3 1 2040 Yes 4 3 376000 31 3 3 2250 Yes 4 3 364000 32 1 2 1930 Yes 2 2 224600 33 2 3 2250 Yes 3 3 270000 34 2 4 2280 Yes 5 3 279200 35 1 3 2000 No 2 2 235600 36 1 3 2080 No 3 3 234200 37 1 2 1880 No 2 2 235000 38 3 4 2420 No 4 3 294000 39 3 1 1720 No 3 2 262600 40 1 2 1740 No 3 2 216400 41 2 1 1560 No 2 2 213200 42 3 2 1840 No 4 3 267200 43 2 3 1990 No 2 2 211200 44 2 1 1920 Yes 3 2 308000 45 3 2 1940 Yes 3 3 333000 46 2 3 1810 No 3 2 206400 47 1 2 1990 No 2 3 259600 48 1 6 2050 No 3 2 180600 49 2 2 1980 No 2 2 231800 50 1 3 1700 Yes 3 2 215000 51 2 3 2100 Yes 3 2 302200 52 1 3 1860 No 2 2 182200 53 1 4 2150 No 2 3 234800 54 1 3 2100 No 3 2 261600 55 1 3 1650 No 3 2 162600 56 2 2 1720 Yes 2 2 251400 57 2 3 2190 Yes 3 2 281800 58 3 3 2240 No 4 3 304600 59 3 1 1840 No 3 3 276200 60 3 1 2090 No 4 2 310800 61 3 1 2200 No 3 3 361800 62 1 2 1610 No 2 2 201800 63 3 2 2220 No 4 3 322600 64 2 2 1910 No 2 3 241000 65 3 2 1860 No 3 2 260600 66 1 1 1450 Yes 2 2 222200 67 1 4 2210 No 3 3 252400 68 2 3 2040 No 4 3 303800 69 1 4 2140 No 3 2 187200 70 3 3 2080 No 4 3 331200 71 3 3 1950 Yes 3 3 333400 72 3 1 2160 No 4 2 315200 73 1 3 1650 No 3 2 214600 74 2 2 2040 No 3 3 251400 75 3 3 2140 No 3 3 288400 76 1 2 1900 No 2 2 213800 77 3 2 1930 No 3 2 259600 78 3 3 2280 Yes 4 3 353000 79 1 3 2130 No 3 2 242600 80 3 1 1780 No 4 2 287200 81 2 4 2190 Yes 3 3 286800 82 3 2 2140 Yes 4 3 368600 83 3 1 2050 Yes 2 2 329600 84 2 2 2410 No 3 3 295400 85 1 3 1520 No 2 2 181000 86 3 2 2250 Yes 4 3 376600 87 1 4 1900 No 4 2 205400 88 3 1 1880 Yes 3 3 345000 89 1 2 1930 No 3 3 255400 90 1 4 2010 No 2 2 195600 91 3 2 1920 No 4 2 286200 92 2 2 2150 No 3 2 233000 93 3 2 2110 No 3 2 285200 94 2 2 2080 No 3 3 314200 95 3 3 2150 Yes 4 3 321200 96 3 1 1970 Yes 2 2 305000 97 2 3 2440 No 3 3 266600 98 2 1 2000 Yes 2 2 253600 99 3 1 2060 No 3 2 291000 100 3 2 2080 Yes 3 3 342000 101 1 5 2010 No 3 2 206400 102 2 5 2260 No 3 3 246200 103 2 4 2410 No 3 3 273600 104 3 3 2440 Yes 4 3 422400 105 2 4 1910 No 3 2 164600 106 3 4 2530 No 4 3 293800 107 1 4 2130 No 3 2 217000 108 2 1 1890 Yes 3 2 268000 109 2 3 1990 Yes 3 3 234000 110 2 3 2110 No 3 2 217400 111 1 1 1710 No 2 2 223200 112 1 2 1740 No 2 2 229800 113 2 2 1940 Yes 2 2 247200 114 1 3 2000 Yes 3 2 231400 115 2 2 2010 No 4 3 249000 116 1 3 1900 No 3 3 205000 117 3 1 2290 Yes 5 4 399000 118 1 2 1920 No 3 2 235600 119 1 3 1950 Yes 3 2 300400 120 1 4 1920 No 2 2 219400 121 1 3 1930 No 2 3 220800 122 2 3 1930 No 3 3 211200 123 2 1 2060 Yes 2 2 289600 124 2 3 1900 Yes 3 3 239400 125 2 3 2160 Yes 4 3 295800 126 1 2 2070 No 2 2 227000 127 3 1 2020 No 3 3 299800 128 1 4 2250 No 3 3 249200
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
The file MidCity Download MidCitycontains data on 128 recent sales in Mid City. For each sale, the file shows the neighborhood (1, 2, or 3) in which the house is located, the number of offers made on the house, the square footage, whether the house is made primarily of brick, the number of bathrooms, the number of bedrooms, and the selling price. Neighborhoods 1 and 2 are more traditional neighborhoods, whereas neighborhood 3 is a newer, more prestigious neighborhood.
PROBLEM 1: Construct 3 different confidence intervals.
Part A) Sort and filter the data from the MidCity file so that you only consider the data from neighborhood 1. Construct a 99% confidence interval for the square footage of all homes in neighborhood 1. Make sure you list the specific equations you are using, ALL variables, show ALL work etc., in your report. You can use Excel to complete all computations. Remember to interpret these confidence intervals in the context of this problem. Use one Excel spreadsheet labeled Prob1a to show your work for this problem.
Part B) Sort and filter the data from the MidCity file so that you only consider the data from neighborhood 2. Construct a 99% confidence interval for the square footage of all homes in neighborhood 2. Make sure you list the specific equations you are using, ALL variables, show ALL work etc., in your report. You can use Excel to complete all computations. Remember to interpret these confidence intervals in the context of this problem. Use one Excel spreadsheet labeled Prob1b to show your work for this problem.
Part C) Sort and filter the data from the MidCity file so that you only consider the data from neighborhood 3. Construct a 99% confidence interval for the population square footage of all homes in neighborhood 3. Make sure you list the specific equations you are using, ALL variables, show ALL work etc., in your report. You can use Excel to complete all computations. Remember to interpret these confidence intervals in the context of this problem. Use one Excel spreadsheet labeled Prob1c to show your work for this problem.
| Home | Nbhd | Offers | Sq Ft | Brick | Bedrooms | Bathrooms | Price |
| 1 | 2 | 2 | 1790 | No | 2 | 2 | 228600 |
| 2 | 2 | 3 | 2030 | No | 4 | 2 | 228400 |
| 3 | 2 | 1 | 1740 | No | 3 | 2 | 229600 |
| 4 | 2 | 3 | 1980 | No | 3 | 2 | 189400 |
| 5 | 2 | 3 | 2130 | No | 3 | 3 | 239600 |
| 6 | 1 | 2 | 1780 | No | 3 | 2 | 229200 |
| 7 | 3 | 3 | 1830 | Yes | 3 | 3 | 303200 |
| 8 | 3 | 2 | 2160 | No | 4 | 2 | 301400 |
| 9 | 2 | 3 | 2110 | No | 4 | 2 | 238400 |
| 10 | 2 | 3 | 1730 | No | 3 | 3 | 208000 |
| 11 | 2 | 3 | 2030 | Yes | 3 | 2 | 265000 |
| 12 | 2 | 2 | 1870 | Yes | 2 | 2 | 246000 |
| 13 | 1 | 4 | 1910 | No | 3 | 2 | 205200 |
| 14 | 1 | 5 | 2150 | Yes | 3 | 3 | 252600 |
| 15 | 3 | 4 | 2590 | No | 4 | 3 | 353600 |
| 16 | 3 | 1 | 1780 | No | 4 | 2 | 291600 |
| 17 | 2 | 4 | 2190 | Yes | 3 | 3 | 294200 |
| 18 | 1 | 4 | 1990 | No | 3 | 3 | 167200 |
| 19 | 2 | 1 | 1700 | Yes | 2 | 2 | 222800 |
| 20 | 3 | 2 | 1920 | Yes | 3 | 3 | 334400 |
| 21 | 2 | 3 | 1790 | No | 3 | 2 | 232400 |
| 22 | 1 | 4 | 2000 | No | 3 | 2 | 227600 |
| 23 | 1 | 3 | 1690 | No | 3 | 2 | 183400 |
| 24 | 1 | 3 | 1820 | Yes | 3 | 2 | 212200 |
| 25 | 2 | 2 | 2210 | Yes | 4 | 3 | 312800 |
| 26 | 1 | 3 | 2290 | No | 4 | 3 | 298600 |
| 27 | 3 | 3 | 2000 | No | 4 | 2 | 274000 |
| 28 | 2 | 2 | 1700 | No | 3 | 2 | 198600 |
| 29 | 1 | 3 | 1600 | No | 2 | 2 | 138200 |
| 30 | 3 | 1 | 2040 | Yes | 4 | 3 | 376000 |
| 31 | 3 | 3 | 2250 | Yes | 4 | 3 | 364000 |
| 32 | 1 | 2 | 1930 | Yes | 2 | 2 | 224600 |
| 33 | 2 | 3 | 2250 | Yes | 3 | 3 | 270000 |
| 34 | 2 | 4 | 2280 | Yes | 5 | 3 | 279200 |
| 35 | 1 | 3 | 2000 | No | 2 | 2 | 235600 |
| 36 | 1 | 3 | 2080 | No | 3 | 3 | 234200 |
| 37 | 1 | 2 | 1880 | No | 2 | 2 | 235000 |
| 38 | 3 | 4 | 2420 | No | 4 | 3 | 294000 |
| 39 | 3 | 1 | 1720 | No | 3 | 2 | 262600 |
| 40 | 1 | 2 | 1740 | No | 3 | 2 | 216400 |
| 41 | 2 | 1 | 1560 | No | 2 | 2 | 213200 |
| 42 | 3 | 2 | 1840 | No | 4 | 3 | 267200 |
| 43 | 2 | 3 | 1990 | No | 2 | 2 | 211200 |
| 44 | 2 | 1 | 1920 | Yes | 3 | 2 | 308000 |
| 45 | 3 | 2 | 1940 | Yes | 3 | 3 | 333000 |
| 46 | 2 | 3 | 1810 | No | 3 | 2 | 206400 |
| 47 | 1 | 2 | 1990 | No | 2 | 3 | 259600 |
| 48 | 1 | 6 | 2050 | No | 3 | 2 | 180600 |
| 49 | 2 | 2 | 1980 | No | 2 | 2 | 231800 |
| 50 | 1 | 3 | 1700 | Yes | 3 | 2 | 215000 |
| 51 | 2 | 3 | 2100 | Yes | 3 | 2 | 302200 |
| 52 | 1 | 3 | 1860 | No | 2 | 2 | 182200 |
| 53 | 1 | 4 | 2150 | No | 2 | 3 | 234800 |
| 54 | 1 | 3 | 2100 | No | 3 | 2 | 261600 |
| 55 | 1 | 3 | 1650 | No | 3 | 2 | 162600 |
| 56 | 2 | 2 | 1720 | Yes | 2 | 2 | 251400 |
| 57 | 2 | 3 | 2190 | Yes | 3 | 2 | 281800 |
| 58 | 3 | 3 | 2240 | No | 4 | 3 | 304600 |
| 59 | 3 | 1 | 1840 | No | 3 | 3 | 276200 |
| 60 | 3 | 1 | 2090 | No | 4 | 2 | 310800 |
| 61 | 3 | 1 | 2200 | No | 3 | 3 | 361800 |
| 62 | 1 | 2 | 1610 | No | 2 | 2 | 201800 |
| 63 | 3 | 2 | 2220 | No | 4 | 3 | 322600 |
| 64 | 2 | 2 | 1910 | No | 2 | 3 | 241000 |
| 65 | 3 | 2 | 1860 | No | 3 | 2 | 260600 |
| 66 | 1 | 1 | 1450 | Yes | 2 | 2 | 222200 |
| 67 | 1 | 4 | 2210 | No | 3 | 3 | 252400 |
| 68 | 2 | 3 | 2040 | No | 4 | 3 | 303800 |
| 69 | 1 | 4 | 2140 | No | 3 | 2 | 187200 |
| 70 | 3 | 3 | 2080 | No | 4 | 3 | 331200 |
| 71 | 3 | 3 | 1950 | Yes | 3 | 3 | 333400 |
| 72 | 3 | 1 | 2160 | No | 4 | 2 | 315200 |
| 73 | 1 | 3 | 1650 | No | 3 | 2 | 214600 |
| 74 | 2 | 2 | 2040 | No | 3 | 3 | 251400 |
| 75 | 3 | 3 | 2140 | No | 3 | 3 | 288400 |
| 76 | 1 | 2 | 1900 | No | 2 | 2 | 213800 |
| 77 | 3 | 2 | 1930 | No | 3 | 2 | 259600 |
| 78 | 3 | 3 | 2280 | Yes | 4 | 3 | 353000 |
| 79 | 1 | 3 | 2130 | No | 3 | 2 | 242600 |
| 80 | 3 | 1 | 1780 | No | 4 | 2 | 287200 |
| 81 | 2 | 4 | 2190 | Yes | 3 | 3 | 286800 |
| 82 | 3 | 2 | 2140 | Yes | 4 | 3 | 368600 |
| 83 | 3 | 1 | 2050 | Yes | 2 | 2 | 329600 |
| 84 | 2 | 2 | 2410 | No | 3 | 3 | 295400 |
| 85 | 1 | 3 | 1520 | No | 2 | 2 | 181000 |
| 86 | 3 | 2 | 2250 | Yes | 4 | 3 | 376600 |
| 87 | 1 | 4 | 1900 | No | 4 | 2 | 205400 |
| 88 | 3 | 1 | 1880 | Yes | 3 | 3 | 345000 |
| 89 | 1 | 2 | 1930 | No | 3 | 3 | 255400 |
| 90 | 1 | 4 | 2010 | No | 2 | 2 | 195600 |
| 91 | 3 | 2 | 1920 | No | 4 | 2 | 286200 |
| 92 | 2 | 2 | 2150 | No | 3 | 2 | 233000 |
| 93 | 3 | 2 | 2110 | No | 3 | 2 | 285200 |
| 94 | 2 | 2 | 2080 | No | 3 | 3 | 314200 |
| 95 | 3 | 3 | 2150 | Yes | 4 | 3 | 321200 |
| 96 | 3 | 1 | 1970 | Yes | 2 | 2 | 305000 |
| 97 | 2 | 3 | 2440 | No | 3 | 3 | 266600 |
| 98 | 2 | 1 | 2000 | Yes | 2 | 2 | 253600 |
| 99 | 3 | 1 | 2060 | No | 3 | 2 | 291000 |
| 100 | 3 | 2 | 2080 | Yes | 3 | 3 | 342000 |
| 101 | 1 | 5 | 2010 | No | 3 | 2 | 206400 |
| 102 | 2 | 5 | 2260 | No | 3 | 3 | 246200 |
| 103 | 2 | 4 | 2410 | No | 3 | 3 | 273600 |
| 104 | 3 | 3 | 2440 | Yes | 4 | 3 | 422400 |
| 105 | 2 | 4 | 1910 | No | 3 | 2 | 164600 |
| 106 | 3 | 4 | 2530 | No | 4 | 3 | 293800 |
| 107 | 1 | 4 | 2130 | No | 3 | 2 | 217000 |
| 108 | 2 | 1 | 1890 | Yes | 3 | 2 | 268000 |
| 109 | 2 | 3 | 1990 | Yes | 3 | 3 | 234000 |
| 110 | 2 | 3 | 2110 | No | 3 | 2 | 217400 |
| 111 | 1 | 1 | 1710 | No | 2 | 2 | 223200 |
| 112 | 1 | 2 | 1740 | No | 2 | 2 | 229800 |
| 113 | 2 | 2 | 1940 | Yes | 2 | 2 | 247200 |
| 114 | 1 | 3 | 2000 | Yes | 3 | 2 | 231400 |
| 115 | 2 | 2 | 2010 | No | 4 | 3 | 249000 |
| 116 | 1 | 3 | 1900 | No | 3 | 3 | 205000 |
| 117 | 3 | 1 | 2290 | Yes | 5 | 4 | 399000 |
| 118 | 1 | 2 | 1920 | No | 3 | 2 | 235600 |
| 119 | 1 | 3 | 1950 | Yes | 3 | 2 | 300400 |
| 120 | 1 | 4 | 1920 | No | 2 | 2 | 219400 |
| 121 | 1 | 3 | 1930 | No | 2 | 3 | 220800 |
| 122 | 2 | 3 | 1930 | No | 3 | 3 | 211200 |
| 123 | 2 | 1 | 2060 | Yes | 2 | 2 | 289600 |
| 124 | 2 | 3 | 1900 | Yes | 3 | 3 | 239400 |
| 125 | 2 | 3 | 2160 | Yes | 4 | 3 | 295800 |
| 126 | 1 | 2 | 2070 | No | 2 | 2 | 227000 |
| 127 | 3 | 1 | 2020 | No | 3 | 3 | 299800 |
| 128 | 1 | 4 | 2250 | No | 3 | 3 | 249200 |
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