Caso Easton
Marcelle Vieira
09/10/2019
Início:
Com uma crise e diversos problemas econômicos em várias vertentes, que afetou principalmente diversas corretoras imobiliárias, a grande área metropolitana que agrega Dallas e Fort Worth (DFW) e o estado do Texas sofreu grandes efeitos. Um efeito é visto diretamente na Easton Imobiliária, quando em meio a crise houve 2 reclamações de clientes que haviam vendido suas casas com tal corretora, alegando que tais vendas foram subvalorizadas em relação a média do mercado imobiliário. Logo, é pedido um documento para comprovar que essas vendas tidas como abaixo do mercado foram propositais, mas sim uma consequência direta da crise que fez com que o preço médio das casas fosse reduzido.
Importando a Base de Dados - Easton Imobiliária
library(readxl)
casoeaston <- read_xlsx("C:/Users/marce/OneDrive/Documentos/RStudio/Base_de_dados-master/Base_de_dados-master/Base de dados - Easton Imobiliária.xlsx")É possível identificar na base diversas informações, como:
- Tamanho da casa
- Idade da casa
- Corretora
- Preço da casa
- Número de quartos
- Mês de venda
- Área na DFW
library(knitr)
kable(casoeaston)| Mês | Preço | Tamanho | Quartos | Idade | Localização | Corretora |
|---|---|---|---|---|---|---|
| 3 | 172950 | 173.54289 | 3 | 2 | 1 | 0 |
| 3 | 167250 | 183.01900 | 3 | 2 | 1 | 0 |
| 3 | 158250 | 172.24224 | 3 | 2 | 1 | 0 |
| 3 | 150750 | 209.77507 | 4 | 2 | 3 | 0 |
| 3 | 139050 | 190.35834 | 3 | 2 | 2 | 1 |
| 3 | 138150 | 129.41394 | 2 | 2 | 1 | 0 |
| 3 | 129300 | 113.52752 | 2 | 2 | 1 | 0 |
| 3 | 111900 | 140.74811 | 3 | 2 | 3 | 0 |
| 3 | 175350 | 206.98798 | 4 | 3 | 1 | 0 |
| 3 | 172350 | 181.25384 | 4 | 3 | 1 | 0 |
| 3 | 162900 | 161.93000 | 3 | 3 | 1 | 0 |
| 3 | 158250 | 150.22422 | 4 | 3 | 1 | 0 |
| 3 | 150750 | 143.16359 | 3 | 3 | 1 | 0 |
| 3 | 123600 | 167.22548 | 3 | 3 | 2 | 0 |
| 3 | 116700 | 137.31070 | 2 | 3 | 2 | 0 |
| 3 | 183750 | 196.67574 | 3 | 4 | 1 | 0 |
| 3 | 180000 | 182.46158 | 3 | 4 | 1 | 0 |
| 3 | 174150 | 234.02277 | 4 | 4 | 2 | 0 |
| 3 | 165750 | 171.68482 | 2 | 4 | 1 | 0 |
| 3 | 165750 | 222.40989 | 3 | 4 | 2 | 0 |
| 3 | 158400 | 149.38809 | 2 | 4 | 1 | 0 |
| 3 | 154200 | 174.37901 | 3 | 4 | 1 | 0 |
| 3 | 151650 | 153.56873 | 3 | 4 | 1 | 0 |
| 3 | 151500 | 149.29519 | 3 | 4 | 1 | 0 |
| 3 | 151050 | 164.43839 | 3 | 4 | 1 | 0 |
| 3 | 132900 | 142.79198 | 2 | 4 | 1 | 0 |
| 3 | 126600 | 153.84744 | 3 | 4 | 2 | 0 |
| 3 | 122250 | 130.25007 | 2 | 4 | 1 | 0 |
| 3 | 121650 | 176.14417 | 4 | 4 | 3 | 1 |
| 3 | 121350 | 142.23456 | 3 | 4 | 2 | 0 |
| 3 | 119550 | 159.14291 | 3 | 4 | 3 | 0 |
| 3 | 108750 | 126.16233 | 2 | 4 | 2 | 0 |
| 3 | 185850 | 193.98155 | 3 | 5 | 1 | 0 |
| 3 | 168900 | 174.37901 | 3 | 5 | 1 | 0 |
| 3 | 168300 | 191.65898 | 3 | 5 | 1 | 0 |
| 3 | 153150 | 210.51830 | 3 | 5 | 2 | 0 |
| 3 | 148800 | 149.57390 | 3 | 5 | 1 | 1 |
| 3 | 144150 | 172.24224 | 4 | 5 | 2 | 0 |
| 3 | 135750 | 182.27577 | 3 | 5 | 2 | 0 |
| 3 | 132750 | 142.04875 | 3 | 5 | 1 | 0 |
| 3 | 131400 | 199.46283 | 3 | 5 | 3 | 1 |
| 3 | 129900 | 165.08871 | 3 | 5 | 2 | 0 |
| 3 | 129750 | 138.33263 | 2 | 5 | 1 | 0 |
| 3 | 124950 | 159.60743 | 3 | 5 | 3 | 0 |
| 3 | 115350 | 177.16610 | 3 | 5 | 3 | 0 |
| 3 | 108900 | 144.09262 | 3 | 5 | 3 | 0 |
| 3 | 190650 | 210.05378 | 4 | 6 | 1 | 0 |
| 3 | 187200 | 208.47443 | 4 | 6 | 1 | 0 |
| 3 | 184050 | 176.14417 | 3 | 6 | 1 | 0 |
| 3 | 175500 | 203.45767 | 4 | 6 | 1 | 0 |
| 3 | 174300 | 256.13369 | 4 | 6 | 2 | 0 |
| 3 | 171300 | 217.48603 | 4 | 6 | 2 | 0 |
| 3 | 166200 | 168.43322 | 3 | 6 | 1 | 0 |
| 3 | 165600 | 233.55825 | 4 | 6 | 2 | 0 |
| 3 | 165150 | 176.42288 | 3 | 6 | 1 | 0 |
| 3 | 154050 | 158.39969 | 3 | 6 | 1 | 0 |
| 3 | 152250 | 202.43573 | 3 | 6 | 2 | 0 |
| 3 | 150450 | 160.72227 | 3 | 6 | 1 | 0 |
| 3 | 145950 | 144.55714 | 3 | 6 | 1 | 0 |
| 3 | 145050 | 148.45906 | 3 | 6 | 1 | 0 |
| 3 | 138750 | 149.10939 | 3 | 6 | 1 | 0 |
| 3 | 138150 | 195.65381 | 4 | 6 | 2 | 0 |
| 3 | 136950 | 142.60617 | 3 | 6 | 1 | 0 |
| 3 | 135000 | 168.99064 | 3 | 6 | 2 | 1 |
| 3 | 132750 | 170.66289 | 3 | 6 | 2 | 0 |
| 3 | 130200 | 177.72352 | 3 | 6 | 3 | 1 |
| 3 | 127950 | 179.67449 | 3 | 6 | 3 | 0 |
| 3 | 124650 | 156.54163 | 3 | 6 | 3 | 0 |
| 3 | 120900 | 172.05644 | 3 | 6 | 2 | 0 |
| 3 | 114450 | 148.64487 | 3 | 6 | 3 | 0 |
| 3 | 110100 | 141.95585 | 3 | 6 | 3 | 1 |
| 3 | 99450 | 130.43587 | 2 | 6 | 3 | 1 |
| 3 | 184800 | 231.79309 | 4 | 7 | 2 | 0 |
| 3 | 178050 | 180.04610 | 2 | 7 | 1 | 0 |
| 3 | 169800 | 168.06161 | 4 | 7 | 1 | 0 |
| 3 | 163350 | 190.63705 | 3 | 7 | 1 | 0 |
| 3 | 159600 | 152.45389 | 3 | 7 | 1 | 0 |
| 3 | 158550 | 227.51955 | 3 | 7 | 3 | 0 |
| 3 | 152550 | 204.38670 | 3 | 7 | 2 | 0 |
| 3 | 148200 | 143.44230 | 3 | 7 | 1 | 0 |
| 3 | 148050 | 183.85512 | 3 | 7 | 2 | 0 |
| 3 | 145800 | 181.53255 | 3 | 7 | 2 | 0 |
| 3 | 141600 | 159.05001 | 3 | 7 | 1 | 0 |
| 3 | 140550 | 186.73512 | 3 | 7 | 3 | 0 |
| 3 | 138600 | 181.16093 | 4 | 7 | 3 | 0 |
| 3 | 125100 | 141.58424 | 3 | 7 | 1 | 0 |
| 3 | 120600 | 169.45515 | 4 | 7 | 2 | 0 |
| 3 | 119400 | 139.35457 | 3 | 7 | 2 | 0 |
| 3 | 117150 | 141.77004 | 3 | 7 | 2 | 0 |
| 3 | 110850 | 158.21388 | 3 | 7 | 3 | 1 |
| 3 | 109200 | 126.53395 | 2 | 7 | 2 | 0 |
| 3 | 107400 | 153.66163 | 2 | 7 | 2 | 0 |
| 3 | 184650 | 205.22282 | 4 | 8 | 1 | 0 |
| 3 | 168000 | 169.26935 | 3 | 8 | 1 | 0 |
| 3 | 161700 | 168.80483 | 3 | 8 | 1 | 0 |
| 3 | 158850 | 212.93378 | 3 | 8 | 2 | 0 |
| 3 | 157650 | 186.64221 | 3 | 8 | 2 | 0 |
| 3 | 157200 | 137.12489 | 4 | 8 | 1 | 0 |
| 3 | 156150 | 171.12741 | 4 | 8 | 1 | 0 |
| 3 | 153300 | 210.23959 | 3 | 8 | 2 | 0 |
| 3 | 149550 | 152.17519 | 2 | 8 | 1 | 0 |
| 3 | 144150 | 167.59709 | 3 | 8 | 2 | 0 |
| 3 | 140400 | 189.33640 | 4 | 8 | 2 | 1 |
| 3 | 140250 | 206.24476 | 4 | 8 | 3 | 0 |
| 3 | 134100 | 193.23833 | 3 | 8 | 2 | 1 |
| 3 | 132750 | 151.61777 | 3 | 8 | 1 | 0 |
| 3 | 126600 | 203.45767 | 3 | 8 | 3 | 0 |
| 3 | 118800 | 160.25775 | 3 | 8 | 2 | 0 |
| 3 | 112500 | 162.48742 | 2 | 8 | 3 | 0 |
| 3 | 180750 | 178.46675 | 3 | 9 | 1 | 0 |
| 3 | 180150 | 196.58284 | 3 | 9 | 1 | 0 |
| 3 | 168000 | 164.81000 | 3 | 9 | 1 | 0 |
| 3 | 157650 | 158.02808 | 3 | 9 | 1 | 0 |
| 3 | 157350 | 149.94551 | 4 | 9 | 1 | 0 |
| 3 | 157200 | 161.09388 | 4 | 9 | 1 | 0 |
| 3 | 127950 | 165.36742 | 3 | 9 | 2 | 0 |
| 3 | 127050 | 167.22548 | 3 | 9 | 3 | 0 |
| 3 | 121500 | 167.78290 | 3 | 9 | 2 | 0 |
| 3 | 121050 | 111.57656 | 2 | 9 | 1 | 0 |
| 3 | 178500 | 199.83445 | 4 | 10 | 1 | 0 |
| 3 | 173550 | 239.13243 | 4 | 10 | 2 | 0 |
| 3 | 170400 | 196.39703 | 3 | 10 | 1 | 0 |
| 3 | 158100 | 174.75063 | 3 | 10 | 1 | 0 |
| 3 | 129450 | 184.22674 | 3 | 10 | 2 | 0 |
| 3 | 130050 | 139.26166 | 3 | 11 | 1 | 0 |
| 3 | 183000 | 213.49119 | 3 | 12 | 1 | 0 |
| 4 | 179700 | 205.59444 | 3 | 2 | 1 | 0 |
| 4 | 160950 | 168.71193 | 3 | 2 | 1 | 0 |
| 4 | 156450 | 156.91324 | 3 | 2 | 1 | 0 |
| 4 | 152250 | 163.97387 | 3 | 2 | 1 | 0 |
| 4 | 187200 | 203.08605 | 4 | 3 | 1 | 0 |
| 4 | 133950 | 178.37384 | 3 | 3 | 2 | 0 |
| 4 | 127050 | 147.53003 | 4 | 3 | 2 | 0 |
| 4 | 126150 | 164.62419 | 4 | 3 | 3 | 0 |
| 4 | 115050 | 154.03325 | 4 | 3 | 2 | 0 |
| 4 | 171150 | 199.18413 | 3 | 4 | 1 | 0 |
| 4 | 162450 | 160.16485 | 2 | 4 | 1 | 0 |
| 4 | 158850 | 218.69376 | 4 | 4 | 2 | 0 |
| 4 | 157200 | 220.64473 | 4 | 4 | 2 | 0 |
| 4 | 154200 | 154.12615 | 2 | 4 | 1 | 0 |
| 4 | 151950 | 168.89773 | 3 | 4 | 1 | 0 |
| 4 | 150450 | 158.21388 | 3 | 4 | 1 | 0 |
| 4 | 142800 | 148.27326 | 3 | 4 | 1 | 0 |
| 4 | 131700 | 155.51970 | 3 | 4 | 2 | 1 |
| 4 | 124650 | 157.65646 | 3 | 4 | 2 | 0 |
| 4 | 123300 | 169.17644 | 4 | 4 | 2 | 0 |
| 4 | 114750 | 146.78681 | 2 | 4 | 2 | 0 |
| 4 | 105600 | 137.58941 | 2 | 4 | 2 | 0 |
| 4 | 187500 | 217.57893 | 3 | 5 | 1 | 0 |
| 4 | 183600 | 216.46409 | 4 | 5 | 1 | 0 |
| 4 | 175800 | 191.65898 | 3 | 5 | 1 | 0 |
| 4 | 169500 | 186.54931 | 3 | 5 | 1 | 0 |
| 4 | 168750 | 173.07837 | 3 | 5 | 1 | 0 |
| 4 | 165000 | 181.25384 | 3 | 5 | 1 | 0 |
| 4 | 162450 | 224.73246 | 3 | 5 | 3 | 0 |
| 4 | 155550 | 190.07963 | 2 | 5 | 1 | 0 |
| 4 | 153900 | 156.72743 | 3 | 5 | 1 | 0 |
| 4 | 146250 | 149.01648 | 3 | 5 | 1 | 0 |
| 4 | 140400 | 199.92735 | 4 | 5 | 2 | 1 |
| 4 | 139950 | 135.63844 | 2 | 5 | 1 | 0 |
| 4 | 139050 | 194.35317 | 4 | 5 | 3 | 0 |
| 4 | 138750 | 152.17519 | 3 | 5 | 1 | 0 |
| 4 | 136500 | 138.51844 | 2 | 5 | 1 | 0 |
| 4 | 131850 | 142.60617 | 3 | 5 | 1 | 0 |
| 4 | 127650 | 175.12224 | 3 | 5 | 3 | 0 |
| 4 | 123300 | 162.95194 | 3 | 5 | 3 | 0 |
| 4 | 122550 | 157.19195 | 3 | 5 | 3 | 0 |
| 4 | 122250 | 140.28360 | 2 | 5 | 3 | 0 |
| 4 | 120750 | 161.27968 | 3 | 5 | 3 | 0 |
| 4 | 117750 | 162.85904 | 3 | 5 | 2 | 0 |
| 4 | 116850 | 149.66680 | 3 | 5 | 3 | 0 |
| 4 | 115950 | 161.37259 | 3 | 5 | 2 | 0 |
| 4 | 115800 | 154.96228 | 3 | 5 | 2 | 0 |
| 4 | 115200 | 191.65898 | 4 | 5 | 3 | 0 |
| 4 | 114600 | 155.98421 | 3 | 5 | 2 | 0 |
| 4 | 177900 | 188.87189 | 3 | 6 | 1 | 0 |
| 4 | 176550 | 194.26026 | 3 | 6 | 1 | 1 |
| 4 | 168000 | 240.43308 | 4 | 6 | 3 | 0 |
| 4 | 163800 | 241.73372 | 4 | 6 | 2 | 0 |
| 4 | 154500 | 168.52612 | 3 | 6 | 1 | 0 |
| 4 | 140700 | 166.11064 | 4 | 6 | 2 | 0 |
| 4 | 137400 | 176.98030 | 3 | 6 | 3 | 0 |
| 4 | 132450 | 181.99706 | 3 | 6 | 2 | 1 |
| 4 | 117750 | 130.25007 | 2 | 6 | 2 | 0 |
| 4 | 112350 | 140.65521 | 2 | 6 | 2 | 0 |
| 4 | 110850 | 102.00754 | 2 | 6 | 1 | 0 |
| 4 | 110700 | 119.28751 | 2 | 6 | 1 | 0 |
| 4 | 108600 | 154.59066 | 3 | 6 | 3 | 0 |
| 4 | 100050 | 120.58815 | 2 | 6 | 2 | 1 |
| 4 | 181800 | 210.33249 | 4 | 7 | 1 | 0 |
| 4 | 161700 | 163.32355 | 3 | 7 | 1 | 0 |
| 4 | 160500 | 205.78024 | 3 | 7 | 2 | 0 |
| 4 | 159600 | 227.89117 | 4 | 7 | 3 | 0 |
| 4 | 158100 | 165.83193 | 3 | 7 | 1 | 0 |
| 4 | 157200 | 170.56999 | 3 | 7 | 1 | 0 |
| 4 | 156450 | 219.43699 | 4 | 7 | 3 | 1 |
| 4 | 151200 | 232.25761 | 3 | 7 | 3 | 0 |
| 4 | 150450 | 165.73903 | 3 | 7 | 1 | 0 |
| 4 | 150150 | 166.20354 | 3 | 7 | 1 | 0 |
| 4 | 149100 | 165.92484 | 3 | 7 | 1 | 0 |
| 4 | 148050 | 152.54680 | 3 | 7 | 1 | 0 |
| 4 | 147750 | 215.16345 | 3 | 7 | 3 | 0 |
| 4 | 146400 | 130.62168 | 2 | 7 | 1 | 0 |
| 4 | 145800 | 214.32732 | 4 | 7 | 2 | 1 |
| 4 | 145050 | 175.95836 | 4 | 7 | 1 | 0 |
| 4 | 141150 | 157.00614 | 3 | 7 | 1 | 0 |
| 4 | 129900 | 159.70033 | 3 | 7 | 2 | 1 |
| 4 | 124350 | 167.31838 | 4 | 7 | 2 | 0 |
| 4 | 121200 | 187.47834 | 4 | 7 | 3 | 0 |
| 4 | 181050 | 189.15060 | 3 | 8 | 1 | 0 |
| 4 | 177000 | 187.57125 | 4 | 8 | 1 | 0 |
| 4 | 173100 | 202.62154 | 3 | 8 | 1 | 0 |
| 4 | 166500 | 181.34674 | 4 | 8 | 1 | 0 |
| 4 | 160800 | 209.68217 | 4 | 8 | 2 | 0 |
| 4 | 160500 | 173.91450 | 3 | 8 | 1 | 0 |
| 4 | 159000 | 208.10282 | 4 | 8 | 2 | 0 |
| 4 | 153750 | 160.72227 | 3 | 8 | 1 | 0 |
| 4 | 153750 | 167.22548 | 3 | 8 | 1 | 0 |
| 4 | 150300 | 168.34032 | 3 | 8 | 1 | 0 |
| 4 | 146250 | 162.48742 | 3 | 8 | 1 | 0 |
| 4 | 144300 | 210.14668 | 3 | 8 | 2 | 0 |
| 4 | 143700 | 155.24099 | 3 | 8 | 1 | 0 |
| 4 | 132300 | 181.62545 | 3 | 8 | 3 | 0 |
| 4 | 128700 | 133.68748 | 3 | 8 | 1 | 0 |
| 4 | 123900 | 174.37901 | 4 | 8 | 3 | 0 |
| 4 | 123600 | 161.55839 | 3 | 8 | 2 | 0 |
| 4 | 121350 | 192.49511 | 3 | 8 | 3 | 0 |
| 4 | 117300 | 151.33906 | 3 | 8 | 2 | 0 |
| 4 | 103800 | 178.28094 | 3 | 8 | 3 | 0 |
| 4 | 169350 | 205.31573 | 3 | 9 | 1 | 0 |
| 4 | 145800 | 142.69907 | 3 | 9 | 1 | 0 |
| 4 | 136350 | 196.11832 | 3 | 9 | 2 | 0 |
| 4 | 126150 | 158.39969 | 3 | 9 | 2 | 0 |
| 4 | 124950 | 182.36867 | 4 | 9 | 3 | 1 |
| 4 | 123300 | 187.38544 | 3 | 9 | 3 | 0 |
| 4 | 122700 | 170.66289 | 3 | 9 | 2 | 0 |
| 4 | 178050 | 197.41897 | 3 | 10 | 1 | 0 |
| 4 | 154800 | 198.25510 | 4 | 10 | 2 | 0 |
| 4 | 139950 | 196.95445 | 3 | 10 | 2 | 0 |
| 4 | 134250 | 168.52612 | 4 | 10 | 2 | 0 |
| 4 | 128400 | 188.12866 | 3 | 11 | 3 | 0 |
| 4 | 119850 | 119.19460 | 2 | 11 | 1 | 0 |
| 4 | 118800 | 159.60743 | 4 | 11 | 2 | 1 |
| 4 | 149850 | 210.61120 | 4 | 13 | 3 | 0 |
| 5 | 178500 | 208.84604 | 4 | 3 | 1 | 0 |
| 5 | 176250 | 191.10156 | 3 | 3 | 1 | 0 |
| 5 | 166950 | 202.15702 | 3 | 3 | 1 | 0 |
| 5 | 166500 | 191.38027 | 3 | 3 | 1 | 0 |
| 5 | 159600 | 191.19446 | 3 | 3 | 1 | 0 |
| 5 | 133350 | 189.52221 | 3 | 3 | 3 | 0 |
| 5 | 117600 | 167.13258 | 3 | 3 | 2 | 0 |
| 5 | 102300 | 166.85387 | 3 | 3 | 3 | 0 |
| 5 | 174150 | 189.70801 | 3 | 4 | 1 | 0 |
| 5 | 173850 | 238.76082 | 3 | 4 | 2 | 1 |
| 5 | 173100 | 193.79575 | 3 | 4 | 1 | 1 |
| 5 | 146400 | 210.42539 | 4 | 4 | 2 | 0 |
| 5 | 146250 | 206.15185 | 4 | 4 | 2 | 0 |
| 5 | 143850 | 221.48086 | 4 | 4 | 3 | 0 |
| 5 | 135600 | 164.06678 | 3 | 4 | 3 | 0 |
| 5 | 135000 | 151.89648 | 3 | 4 | 1 | 0 |
| 5 | 132000 | 170.75579 | 3 | 4 | 2 | 0 |
| 5 | 131700 | 212.46926 | 4 | 4 | 3 | 0 |
| 5 | 131400 | 184.22674 | 3 | 4 | 2 | 0 |
| 5 | 127800 | 148.45906 | 3 | 4 | 1 | 0 |
| 5 | 123900 | 154.03325 | 3 | 4 | 2 | 1 |
| 5 | 122400 | 183.76222 | 4 | 4 | 3 | 0 |
| 5 | 121200 | 130.90039 | 2 | 4 | 1 | 0 |
| 5 | 179550 | 194.07446 | 4 | 5 | 1 | 0 |
| 5 | 160950 | 168.24741 | 3 | 5 | 1 | 1 |
| 5 | 156900 | 161.46549 | 3 | 5 | 1 | 0 |
| 5 | 148950 | 164.90290 | 3 | 5 | 1 | 0 |
| 5 | 145200 | 205.12992 | 4 | 5 | 2 | 0 |
| 5 | 132900 | 198.71961 | 3 | 5 | 2 | 0 |
| 5 | 129450 | 179.48868 | 3 | 5 | 3 | 0 |
| 5 | 127500 | 164.43839 | 3 | 5 | 2 | 1 |
| 5 | 126900 | 166.57516 | 3 | 5 | 1 | 0 |
| 5 | 126300 | 127.37007 | 2 | 5 | 1 | 0 |
| 5 | 122100 | 183.48351 | 3 | 5 | 3 | 1 |
| 5 | 117900 | 176.32998 | 3 | 5 | 3 | 0 |
| 5 | 117300 | 165.36742 | 2 | 5 | 2 | 0 |
| 5 | 112650 | 128.67072 | 2 | 5 | 1 | 0 |
| 5 | 110700 | 151.80357 | 2 | 5 | 2 | 0 |
| 5 | 104400 | 137.58941 | 2 | 5 | 2 | 0 |
| 5 | 175950 | 201.87831 | 3 | 6 | 1 | 0 |
| 5 | 166650 | 170.75579 | 3 | 6 | 1 | 0 |
| 5 | 162150 | 213.95571 | 3 | 6 | 2 | 0 |
| 5 | 151950 | 202.52864 | 4 | 6 | 2 | 0 |
| 5 | 150300 | 226.40472 | 4 | 6 | 3 | 0 |
| 5 | 146700 | 234.95180 | 4 | 6 | 3 | 1 |
| 5 | 145200 | 209.31056 | 3 | 6 | 2 | 0 |
| 5 | 144750 | 156.82034 | 3 | 6 | 1 | 0 |
| 5 | 142800 | 151.24615 | 3 | 6 | 1 | 0 |
| 5 | 141150 | 149.94551 | 3 | 6 | 1 | 0 |
| 5 | 138450 | 186.92092 | 4 | 6 | 3 | 0 |
| 5 | 138000 | 195.09639 | 4 | 6 | 2 | 0 |
| 5 | 133650 | 183.29771 | 4 | 6 | 3 | 0 |
| 5 | 131400 | 195.09639 | 4 | 6 | 3 | 0 |
| 5 | 129450 | 190.45124 | 3 | 6 | 3 | 0 |
| 5 | 128100 | 142.14166 | 3 | 6 | 1 | 0 |
| 5 | 125550 | 196.11832 | 3 | 6 | 3 | 0 |
| 5 | 117600 | 175.02933 | 4 | 6 | 3 | 0 |
| 5 | 117450 | 181.06803 | 3 | 6 | 3 | 0 |
| 5 | 112200 | 163.69516 | 2 | 6 | 2 | 0 |
| 5 | 109350 | 99.31335 | 2 | 6 | 1 | 0 |
| 5 | 108900 | 151.06035 | 3 | 6 | 3 | 0 |
| 5 | 108600 | 138.42553 | 2 | 6 | 2 | 0 |
| 5 | 108150 | 138.61134 | 2 | 6 | 2 | 0 |
| 5 | 107400 | 156.35582 | 3 | 6 | 3 | 0 |
| 5 | 104250 | 110.83333 | 2 | 6 | 1 | 0 |
| 5 | 103350 | 156.91324 | 3 | 6 | 2 | 0 |
| 5 | 102450 | 134.61651 | 2 | 6 | 3 | 0 |
| 5 | 165450 | 189.61511 | 3 | 7 | 1 | 0 |
| 5 | 155550 | 161.09388 | 3 | 7 | 1 | 0 |
| 5 | 154050 | 236.80986 | 4 | 7 | 3 | 0 |
| 5 | 146850 | 168.15451 | 3 | 7 | 1 | 0 |
| 5 | 145950 | 171.49902 | 3 | 7 | 1 | 0 |
| 5 | 141900 | 193.79575 | 3 | 7 | 3 | 0 |
| 5 | 137250 | 146.78681 | 2 | 7 | 1 | 0 |
| 5 | 133650 | 121.23847 | 4 | 7 | 1 | 0 |
| 5 | 131850 | 148.83068 | 3 | 7 | 1 | 0 |
| 5 | 127200 | 166.11064 | 4 | 7 | 3 | 0 |
| 5 | 121350 | 177.90933 | 3 | 7 | 3 | 0 |
| 5 | 119850 | 139.44747 | 3 | 7 | 2 | 0 |
| 5 | 117900 | 168.43322 | 4 | 7 | 3 | 0 |
| 5 | 115200 | 159.14291 | 3 | 7 | 2 | 0 |
| 5 | 111900 | 180.32481 | 3 | 7 | 3 | 1 |
| 5 | 108300 | 153.47583 | 3 | 7 | 2 | 0 |
| 5 | 108000 | 172.52095 | 3 | 7 | 3 | 0 |
| 5 | 107400 | 132.29393 | 2 | 7 | 2 | 0 |
| 5 | 178050 | 188.03576 | 3 | 8 | 1 | 0 |
| 5 | 177750 | 253.81112 | 4 | 8 | 3 | 0 |
| 5 | 173400 | 192.86672 | 3 | 8 | 1 | 0 |
| 5 | 172200 | 266.81754 | 4 | 8 | 3 | 0 |
| 5 | 164700 | 187.57125 | 3 | 8 | 1 | 0 |
| 5 | 157500 | 222.78150 | 4 | 8 | 2 | 0 |
| 5 | 152550 | 217.02151 | 3 | 8 | 2 | 0 |
| 5 | 137250 | 152.82551 | 3 | 8 | 1 | 0 |
| 5 | 134400 | 154.40486 | 2 | 8 | 1 | 0 |
| 5 | 133500 | 192.40220 | 3 | 8 | 3 | 0 |
| 5 | 124200 | 165.64613 | 4 | 8 | 2 | 0 |
| 5 | 108000 | 154.86937 | 3 | 8 | 2 | 0 |
| 5 | 178350 | 212.74797 | 4 | 9 | 1 | 0 |
| 5 | 171150 | 198.44090 | 4 | 9 | 1 | 1 |
| 5 | 171000 | 191.00866 | 4 | 9 | 1 | 0 |
| 5 | 158100 | 186.27060 | 3 | 9 | 1 | 0 |
| 5 | 148650 | 168.52612 | 3 | 9 | 1 | 0 |
| 5 | 145500 | 207.26669 | 4 | 9 | 3 | 0 |
| 5 | 144900 | 180.69642 | 4 | 9 | 1 | 0 |
| 5 | 139350 | 160.16485 | 3 | 9 | 1 | 0 |
| 5 | 124200 | 186.82802 | 3 | 9 | 2 | 0 |
| 5 | 121950 | 180.32481 | 3 | 9 | 2 | 0 |
| 5 | 121500 | 154.12615 | 3 | 9 | 2 | 0 |
| 5 | 117000 | 138.42553 | 3 | 9 | 1 | 0 |
| 5 | 106800 | 141.02682 | 2 | 9 | 2 | 0 |
| 5 | 154050 | 158.58550 | 4 | 10 | 1 | 0 |
| 5 | 120150 | 184.87706 | 4 | 10 | 2 | 1 |
| 5 | 114300 | 168.15451 | 3 | 10 | 2 | 1 |
| 5 | 102000 | 156.26292 | 3 | 10 | 2 | 0 |
| 6 | 137550 | 221.57376 | 4 | 1 | 3 | 0 |
| 6 | 105750 | 162.39452 | 3 | 1 | 2 | 0 |
| 6 | 158100 | 185.80609 | 3 | 2 | 1 | 0 |
| 6 | 125850 | 175.67966 | 3 | 2 | 2 | 1 |
| 6 | 119850 | 129.87845 | 2 | 2 | 1 | 0 |
| 6 | 111000 | 152.17519 | 4 | 2 | 2 | 0 |
| 6 | 109950 | 128.11330 | 2 | 2 | 1 | 0 |
| 6 | 159600 | 189.05769 | 3 | 3 | 1 | 0 |
| 6 | 141900 | 132.29393 | 2 | 3 | 1 | 0 |
| 6 | 140550 | 155.79840 | 3 | 3 | 1 | 0 |
| 6 | 131100 | 151.80357 | 3 | 3 | 1 | 0 |
| 6 | 125400 | 142.04875 | 3 | 3 | 1 | 0 |
| 6 | 181500 | 209.40346 | 4 | 4 | 1 | 0 |
| 6 | 172800 | 206.05895 | 4 | 4 | 1 | 0 |
| 6 | 170250 | 220.55183 | 3 | 4 | 1 | 0 |
| 6 | 159300 | 183.01900 | 3 | 4 | 1 | 0 |
| 6 | 158550 | 172.98547 | 4 | 4 | 1 | 0 |
| 6 | 152550 | 169.82676 | 3 | 4 | 1 | 0 |
| 6 | 152400 | 194.44607 | 3 | 4 | 1 | 0 |
| 6 | 142500 | 169.36225 | 3 | 4 | 1 | 0 |
| 6 | 139200 | 169.54805 | 2 | 4 | 1 | 0 |
| 6 | 138150 | 152.73260 | 3 | 4 | 1 | 0 |
| 6 | 136350 | 171.87063 | 3 | 4 | 1 | 0 |
| 6 | 132750 | 203.45767 | 3 | 4 | 3 | 1 |
| 6 | 125850 | 180.78932 | 3 | 4 | 3 | 1 |
| 6 | 125550 | 197.23316 | 4 | 4 | 2 | 0 |
| 6 | 115200 | 158.86420 | 4 | 4 | 2 | 0 |
| 6 | 113700 | 141.86295 | 3 | 4 | 1 | 0 |
| 6 | 113400 | 122.72492 | 2 | 4 | 1 | 0 |
| 6 | 102450 | 164.43839 | 3 | 4 | 2 | 0 |
| 6 | 101400 | 143.53520 | 3 | 4 | 2 | 1 |
| 6 | 177450 | 206.05895 | 3 | 5 | 1 | 0 |
| 6 | 154950 | 249.81628 | 4 | 5 | 3 | 0 |
| 6 | 151200 | 162.20871 | 3 | 5 | 1 | 0 |
| 6 | 150750 | 192.95962 | 3 | 5 | 1 | 0 |
| 6 | 141900 | 174.28611 | 4 | 5 | 1 | 0 |
| 6 | 133350 | 143.99972 | 3 | 5 | 1 | 0 |
| 6 | 132750 | 201.87831 | 4 | 5 | 2 | 0 |
| 6 | 129450 | 195.09639 | 4 | 5 | 2 | 1 |
| 6 | 128700 | 193.14543 | 3 | 5 | 3 | 1 |
| 6 | 115350 | 165.64613 | 3 | 5 | 2 | 0 |
| 6 | 114750 | 176.23707 | 3 | 5 | 3 | 1 |
| 6 | 107700 | 164.90290 | 4 | 5 | 2 | 0 |
| 6 | 102150 | 137.31070 | 2 | 5 | 3 | 0 |
| 6 | 167700 | 196.11832 | 4 | 6 | 1 | 0 |
| 6 | 166650 | 192.12349 | 3 | 6 | 1 | 0 |
| 6 | 150450 | 223.33892 | 3 | 6 | 2 | 0 |
| 6 | 149850 | 168.06161 | 3 | 6 | 1 | 1 |
| 6 | 138600 | 170.19838 | 3 | 6 | 1 | 0 |
| 6 | 134550 | 157.37776 | 3 | 6 | 1 | 0 |
| 6 | 132000 | 143.99972 | 2 | 6 | 1 | 0 |
| 6 | 131850 | 147.53003 | 3 | 6 | 1 | 0 |
| 6 | 130650 | 203.08605 | 4 | 6 | 3 | 0 |
| 6 | 118350 | 159.79324 | 3 | 6 | 2 | 0 |
| 6 | 116850 | 186.82802 | 4 | 6 | 3 | 0 |
| 6 | 114450 | 182.55448 | 3 | 6 | 3 | 0 |
| 6 | 108450 | 147.62294 | 3 | 6 | 2 | 0 |
| 6 | 106800 | 139.63327 | 3 | 6 | 2 | 0 |
| 6 | 106500 | 129.22813 | 2 | 6 | 1 | 0 |
| 6 | 103200 | 159.60743 | 3 | 6 | 2 | 0 |
| 6 | 158400 | 200.85638 | 3 | 7 | 1 | 0 |
| 6 | 153000 | 200.11316 | 3 | 7 | 1 | 0 |
| 6 | 138750 | 146.78681 | 3 | 7 | 1 | 0 |
| 6 | 138150 | 158.86420 | 3 | 7 | 1 | 0 |
| 6 | 136800 | 141.77004 | 3 | 7 | 1 | 0 |
| 6 | 128400 | 167.96870 | 3 | 7 | 2 | 0 |
| 6 | 124800 | 195.74671 | 3 | 7 | 3 | 0 |
| 6 | 123150 | 136.19586 | 2 | 7 | 1 | 0 |
| 6 | 122700 | 187.38544 | 4 | 7 | 3 | 0 |
| 6 | 118500 | 189.05769 | 3 | 7 | 2 | 0 |
| 6 | 118200 | 137.96102 | 2 | 7 | 1 | 1 |
| 6 | 116850 | 161.46549 | 3 | 7 | 2 | 1 |
| 6 | 115950 | 168.34032 | 3 | 7 | 2 | 0 |
| 6 | 113700 | 162.30162 | 3 | 7 | 2 | 1 |
| 6 | 111600 | 157.00614 | 3 | 7 | 3 | 0 |
| 6 | 110850 | 160.44356 | 3 | 7 | 2 | 0 |
| 6 | 101550 | 112.78429 | 2 | 7 | 1 | 0 |
| 6 | 99000 | 149.75971 | 3 | 7 | 2 | 0 |
| 6 | 179850 | 210.98281 | 4 | 8 | 1 | 0 |
| 6 | 156900 | 164.15968 | 3 | 8 | 1 | 0 |
| 6 | 151650 | 160.07194 | 3 | 8 | 1 | 0 |
| 6 | 150750 | 179.30287 | 3 | 8 | 1 | 0 |
| 6 | 149400 | 170.56999 | 3 | 8 | 1 | 0 |
| 6 | 146250 | 226.49762 | 4 | 8 | 3 | 0 |
| 6 | 144750 | 168.24741 | 3 | 8 | 1 | 0 |
| 6 | 139350 | 212.00475 | 4 | 8 | 3 | 0 |
| 6 | 137250 | 133.40877 | 2 | 8 | 1 | 0 |
| 6 | 121800 | 117.42945 | 2 | 8 | 1 | 0 |
| 6 | 120450 | 162.02291 | 3 | 8 | 2 | 0 |
| 6 | 118800 | 178.46675 | 3 | 8 | 3 | 0 |
| 6 | 110250 | 149.38809 | 3 | 8 | 2 | 0 |
| 6 | 153750 | 216.09248 | 4 | 9 | 2 | 0 |
| 6 | 145350 | 195.18929 | 3 | 9 | 2 | 0 |
| 6 | 140400 | 163.32355 | 3 | 9 | 1 | 0 |
| 6 | 127800 | 182.74029 | 3 | 9 | 2 | 0 |
| 6 | 124350 | 180.97513 | 3 | 9 | 2 | 1 |
| 6 | 119250 | 171.68482 | 3 | 9 | 2 | 1 |
| 6 | 119100 | 180.41771 | 4 | 9 | 2 | 1 |
| 6 | 107250 | 169.26935 | 3 | 9 | 3 | 0 |
| 6 | 106350 | 142.04875 | 3 | 9 | 2 | 0 |
| 6 | 135450 | 187.75705 | 4 | 10 | 2 | 0 |
| 6 | 110400 | 162.48742 | 3 | 10 | 2 | 0 |
| 6 | 132450 | 161.55839 | 3 | 11 | 1 | 0 |
Obtendo as médias, desvio padrão e medianas de tais relações:
Preços x Corretora:
boxplot(casoeaston$Preço~casoeaston$Corretora,
col = c('powderblue'),
main = 'Preço x Corretora',
xlab = 'Corretora', ylab = 'Preço')
library(psych)
describeBy(casoeaston$Preço, casoeaston$Corretora)##
## Descriptive statistics by group
## group: 0
## vars n mean sd median trimmed mad min max range
## X1 1 415 141066.1 22239.58 139950 140549.1 26242.02 99000 190650 91650
## skew kurtosis se
## X1 0.15 -0.95 1091.7
## --------------------------------------------------------
## group: 1
## vars n mean sd median trimmed mad min max range skew
## X1 1 46 130950 19097.96 128100 129422.4 15456.1 99450 176550 77100 0.75
## kurtosis se
## X1 0.04 2815.84Preços x Tamanho:
plot(casoeaston$Tamanho~casoeaston$Preço,
col = c('powderblue'),
main = 'Preço x Tamanho',
xlab = 'Preço', ylab = 'Tamanho')
describeBy(casoeaston$Preço, casoeaston$Tamanho)##
## Descriptive statistics by group
## group: 99.3133536047774
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 109350 NA 109350 109350 0 109350 109350 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 102.007541869079
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 110850 NA 110850 110850 0 110850 110850 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 110.833331010757
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 104250 NA 104250 104250 0 104250 104250 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 111.57655535953
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 121050 NA 121050 121050 0 121050 121050 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 112.784294926286
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 101550 NA 101550 101550 0 101550 101550 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 113.527519275059
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 129300 NA 129300 129300 0 129300 129300 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 117.429447106117
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 121800 NA 121800 121800 0 121800 121800 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 119.194604934452
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 119850 NA 119850 119850 0 119850 119850 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 119.287507978049
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 110700 NA 110700 110700 0 110700 110700 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 120.588150588401
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 100050 NA 100050 100050 0 100050 100050 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 121.238471893578
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 133650 NA 133650 133650 0 133650 133650 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 122.724920591123
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 113400 NA 113400 113400 0 113400 113400 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 126.162333204198
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 108750 NA 108750 108750 0 108750 108750 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 126.533945378585
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 109200 NA 109200 109200 0 109200 109200 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 127.370072770954
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 126300 NA 126300 126300 0 126300 126300 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 128.113297119727
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 109950 NA 109950 109950 0 109950 109950 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 128.670715381307
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 112650 NA 112650 112650 0 112650 112650 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 129.228133642886
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 106500 NA 106500 106500 0 106500 106500 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 129.41393973008
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 138150 NA 138150 138150 0 138150 138150 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 129.878454948063
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 119850 NA 119850 119850 0 119850 119850 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 130.250067122449
## vars n mean sd median trimmed mad min max range skew
## X1 1 2 120000 3181.98 120000 120000 3335.85 117750 122250 4500 0
## kurtosis se
## X1 -2.75 2250
## --------------------------------------------------------
## group: 130.435873209642
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 1 99450 NA 99450 99450 0 99450 99450 0 NA NA NA
## --------------------------------------------------------
## group: 130.621679296835
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 146400 NA 146400 146400 0 146400 146400 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 130.900388427625
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 121200 NA 121200 121200 0 121200 121200 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 132.293934081574
## vars n mean sd median trimmed mad min max range skew
## X1 1 2 124650 24395.18 124650 124650 25574.85 107400 141900 34500 0
## kurtosis se
## X1 -2.75 17250
## --------------------------------------------------------
## group: 133.408770604734
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 137250 NA 137250 137250 0 137250 137250 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 133.687479735524
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 128700 NA 128700 128700 0 128700 128700 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 134.61651017149
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 102450 NA 102450 102450 0 102450 102450 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 135.638443651052
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 139950 NA 139950 139950 0 139950 139950 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 136.195861912632
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 123150 NA 123150 123150 0 123150 123150 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 137.124892348598
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 157200 NA 157200 157200 0 157200 157200 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 137.310698435791
## vars n mean sd median trimmed mad min max range skew
## X1 1 2 109425 10288.4 109425 109425 10785.91 102150 116700 14550 0
## kurtosis se
## X1 -2.75 7275
## --------------------------------------------------------
## group: 137.589407566581
## vars n mean sd median trimmed mad min max range skew
## X1 1 2 105000 848.53 105000 105000 889.56 104400 105600 1200 0
## kurtosis se
## X1 -2.75 600
## --------------------------------------------------------
## group: 137.961019740968
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 118200 NA 118200 118200 0 118200 118200 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 138.332631915354
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 129750 NA 129750 129750 0 129750 129750 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 138.425534958951
## vars n mean sd median trimmed mad min max range skew
## X1 1 2 112800 5939.7 112800 112800 6226.92 108600 117000 8400 0
## kurtosis se
## X1 -2.75 4200
## --------------------------------------------------------
## group: 138.518438002547
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 136500 NA 136500 136500 0 136500 136500 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 138.611341046144
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 108150 NA 108150 108150 0 108150 108150 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 139.26166235132
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 130050 NA 130050 130050 0 130050 130050 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 139.354565394917
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 119400 NA 119400 119400 0 119400 119400 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 139.447468438514
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 119850 NA 119850 119850 0 119850 119850 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 139.633274525707
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 106800 NA 106800 106800 0 106800 106800 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 140.283595830883
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 122250 NA 122250 122250 0 122250 122250 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 140.655208005269
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 112350 NA 112350 112350 0 112350 112350 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 140.748111048866
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 111900 NA 111900 111900 0 111900 111900 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 141.026820179656
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 106800 NA 106800 106800 0 106800 106800 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 141.584238441236
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 125100 NA 125100 125100 0 125100 125100 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 141.770044528429
## vars n mean sd median trimmed mad min max range skew
## X1 1 2 126975 13894.65 126975 126975 14566.55 117150 136800 19650 0
## kurtosis se
## X1 -2.75 9825
## --------------------------------------------------------
## group: 141.862947572025
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 113700 NA 113700 113700 0 113700 113700 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 141.955850615622
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 110100 NA 110100 110100 0 110100 110100 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 142.048753659219
## vars n mean sd median trimmed mad min max range
## X1 1 3 121500 13625.25 125400 121500 10897.11 106350 132750 26400
## skew kurtosis se
## X1 -0.26 -2.33 7866.54
## --------------------------------------------------------
## group: 142.141656702815
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 128100 NA 128100 128100 0 128100 128100 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 142.234559746412
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 121350 NA 121350 121350 0 121350 121350 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 142.606171920798
## vars n mean sd median trimmed mad min max range skew
## X1 1 2 134400 3606.24 134400 134400 3780.63 131850 136950 5100 0
## kurtosis se
## X1 -2.75 2550
## --------------------------------------------------------
## group: 142.699074964395
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 145800 NA 145800 145800 0 145800 145800 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 142.791978007992
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 132900 NA 132900 132900 0 132900 132900 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 143.163590182378
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 150750 NA 150750 150750 0 150750 150750 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 143.442299313168
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 148200 NA 148200 148200 0 148200 148200 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 143.535202356764
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 101400 NA 101400 101400 0 101400 101400 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 143.999717574747
## vars n mean sd median trimmed mad min max range skew
## X1 1 2 132675 954.59 132675 132675 1000.75 132000 133350 1350 0
## kurtosis se
## X1 -2.75 675
## --------------------------------------------------------
## group: 144.092620618344
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 108900 NA 108900 108900 0 108900 108900 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 144.557135836327
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 145950 NA 145950 145950 0 145950 145950 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 146.786808882646
## vars n mean sd median trimmed mad min max range skew
## X1 1 3 130250 13444.33 137250 130250 2223.9 114750 138750 24000 -0.38
## kurtosis se
## X1 -2.33 7762.09
## --------------------------------------------------------
## group: 147.530033231419
## vars n mean sd median trimmed mad min max range skew
## X1 1 2 129450 3394.11 129450 129450 3558.24 127050 131850 4800 0
## kurtosis se
## X1 -2.75 2400
## --------------------------------------------------------
## group: 147.622936275015
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 108450 NA 108450 108450 0 108450 108450 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 148.273257580192
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 142800 NA 142800 142800 0 142800 142800 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 148.459063667385
## vars n mean sd median trimmed mad min max range skew
## X1 1 2 136425 12197.59 136425 136425 12787.42 127800 145050 17250 0
## kurtosis se
## X1 -2.75 8625
## --------------------------------------------------------
## group: 148.644869754578
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 114450 NA 114450 114450 0 114450 114450 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 148.830675841771
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 131850 NA 131850 131850 0 131850 131850 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 149.016481928964
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 146250 NA 146250 146250 0 146250 146250 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 149.109384972561
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 138750 NA 138750 138750 0 138750 138750 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 149.295191059754
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 151500 NA 151500 151500 0 151500 151500 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 149.388094103351
## vars n mean sd median trimmed mad min max range skew
## X1 1 2 134325 34047.19 134325 134325 35693.6 110250 158400 48150 0
## kurtosis se
## X1 -2.75 24075
## --------------------------------------------------------
## group: 149.573900190544
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 148800 NA 148800 148800 0 148800 148800 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 149.666803234141
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 116850 NA 116850 116850 0 116850 116850 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 149.759706277737
## vars n mean sd median trimmed mad min max range skew kurtosis se
## X1 1 1 99000 NA 99000 99000 0 99000 99000 0 NA NA NA
## --------------------------------------------------------
## group: 149.945512364931
## vars n mean sd median trimmed mad min max range skew
## X1 1 2 149250 11455.13 149250 149250 12009.06 141150 157350 16200 0
## kurtosis se
## X1 -2.75 8100
## --------------------------------------------------------
## group: 150.22422149572
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 158250 NA 158250 158250 0 158250 158250 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 151.06034888809
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 108900 NA 108900 108900 0 108900 108900 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 151.246154975283
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 142800 NA 142800 142800 0 142800 142800 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
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## X1 1 1 173100 NA 173100 173100 0 173100 173100 0 NA NA
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## X1 NA
## --------------------------------------------------------
## group: 203.086053302192
## vars n mean sd median trimmed mad min max range skew
## X1 1 2 158925 39986.89 158925 158925 41920.51 130650 187200 56550 0
## kurtosis se
## X1 -2.75 28275
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## group: 203.457665476579
## vars n mean sd median trimmed mad min max range skew
## X1 1 3 144950 26635.17 132750 144950 9117.99 126600 175500 48900 0.36
## kurtosis se
## X1 -2.33 15377.82
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## group: 204.386695912545
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 152550 NA 152550 152550 0 152550 152550 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 145200 NA 145200 145200 0 145200 145200 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 184650 NA 184650 184650 0 184650 184650 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 169350 NA 169350 169350 0 169350 169350 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 179700 NA 179700 179700 0 179700 179700 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 160500 NA 160500 160500 0 160500 160500 0 NA NA
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## X1 NA
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## group: 206.058950697284
## vars n mean sd median trimmed mad min max range skew
## X1 1 2 175125 3288.05 175125 175125 3447.04 172800 177450 4650 0
## kurtosis se
## X1 -2.75 2325
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## group: 206.15185374088
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 146250 NA 146250 146250 0 146250 146250 0 NA NA
## se
## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 140250 NA 140250 140250 0 140250 140250 0 NA NA
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## X1 NA
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## X1 1 1 175350 NA 175350 175350 0 175350 175350 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 145500 NA 145500 145500 0 145500 145500 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 159000 NA 159000 159000 0 159000 159000 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 187200 NA 187200 187200 0 187200 187200 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 178500 NA 178500 178500 0 178500 178500 0 NA NA
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## X1 NA
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## X1 1 1 145200 NA 145200 145200 0 145200 145200 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 181500 NA 181500 181500 0 181500 181500 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 160800 NA 160800 160800 0 160800 160800 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 150750 NA 150750 150750 0 150750 150750 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 190650 NA 190650 190650 0 190650 190650 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 144300 NA 144300 144300 0 144300 144300 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 153300 NA 153300 153300 0 153300 153300 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 181800 NA 181800 181800 0 181800 181800 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 146400 NA 146400 146400 0 146400 146400 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 153150 NA 153150 153150 0 153150 153150 0 NA NA
## se
## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 149850 NA 149850 149850 0 149850 149850 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 179850 NA 179850 179850 0 179850 179850 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 139350 NA 139350 139350 0 139350 139350 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 131700 NA 131700 131700 0 131700 131700 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 178350 NA 178350 178350 0 178350 178350 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 158850 NA 158850 158850 0 158850 158850 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 183000 NA 183000 183000 0 183000 183000 0 NA NA
## se
## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 162150 NA 162150 162150 0 162150 162150 0 NA NA
## se
## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 145800 NA 145800 145800 0 145800 145800 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 147750 NA 147750 147750 0 147750 147750 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 153750 NA 153750 153750 0 153750 153750 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 183600 NA 183600 183600 0 183600 183600 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 152550 NA 152550 152550 0 152550 152550 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 171300 NA 171300 171300 0 171300 171300 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 187500 NA 187500 187500 0 187500 187500 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 158850 NA 158850 158850 0 158850 158850 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 156450 NA 156450 156450 0 156450 156450 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 170250 NA 170250 170250 0 170250 170250 0 NA NA
## se
## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 157200 NA 157200 157200 0 157200 157200 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 143850 NA 143850 143850 0 143850 143850 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 137550 NA 137550 137550 0 137550 137550 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 165750 NA 165750 165750 0 165750 165750 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 157500 NA 157500 157500 0 157500 157500 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 150450 NA 150450 150450 0 150450 150450 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 162450 NA 162450 162450 0 162450 162450 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 150300 NA 150300 150300 0 150300 150300 0 NA NA
## se
## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 146250 NA 146250 146250 0 146250 146250 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 158550 NA 158550 158550 0 158550 158550 0 NA NA
## se
## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 159600 NA 159600 159600 0 159600 159600 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 184800 NA 184800 184800 0 184800 184800 0 NA NA
## se
## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 151200 NA 151200 151200 0 151200 151200 0 NA NA
## se
## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 165600 NA 165600 165600 0 165600 165600 0 NA NA
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## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 174150 NA 174150 174150 0 174150 174150 0 NA NA
## se
## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 146700 NA 146700 146700 0 146700 146700 0 NA NA
## se
## X1 NA
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## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 154050 NA 154050 154050 0 154050 154050 0 NA NA
## se
## X1 NA
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## group: 238.760822043291
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 173850 NA 173850 173850 0 173850 173850 0 NA NA
## se
## X1 NA
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## group: 239.132434217677
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 173550 NA 173550 173550 0 173550 173550 0 NA NA
## se
## X1 NA
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## group: 240.43307682803
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 168000 NA 168000 168000 0 168000 168000 0 NA NA
## se
## X1 NA
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## group: 241.733719438383
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 163800 NA 163800 163800 0 163800 163800 0 NA NA
## se
## X1 NA
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## group: 249.816284231288
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 154950 NA 154950 154950 0 154950 154950 0 NA NA
## se
## X1 NA
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## group: 253.811115105942
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 177750 NA 177750 177750 0 177750 177750 0 NA NA
## se
## X1 NA
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## group: 256.133691195857
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 174300 NA 174300 174300 0 174300 174300 0 NA NA
## se
## X1 NA
## --------------------------------------------------------
## group: 266.817541209468
## vars n mean sd median trimmed mad min max range skew kurtosis
## X1 1 1 172200 NA 172200 172200 0 172200 172200 0 NA NA
## se
## X1 NAPreços x Numero de Quartos:
boxplot(casoeaston$Preço~casoeaston$Quartos,
col = c('powderblue'),
main = 'Preço x Numero de Quartos',
xlab = 'Quartos', ylab = 'Preço')
describeBy(casoeaston$Preço, casoeaston$Quartos)##
## Descriptive statistics by group
## group: 2
## vars n mean sd median trimmed mad min max range
## X1 1 60 122977.5 18361.31 117975 120715.6 16123.27 99450 178050 78600
## skew kurtosis se
## X1 0.98 0.23 2370.43
## --------------------------------------------------------
## group: 3
## vars n mean sd median trimmed mad min max range
## X1 1 290 140163.6 21055.43 138750 139666.8 23128.56 99000 187500 88500
## skew kurtosis se
## X1 0.17 -0.88 1236.42
## --------------------------------------------------------
## group: 4
## vars n mean sd median trimmed mad min max range
## X1 1 111 149009.5 21531.95 146400 148833.7 28465.92 107700 190650 82950
## skew kurtosis se
## X1 0.07 -1.12 2043.72Preços x Área:
boxplot(casoeaston$Preço~casoeaston$Localização,
col = c('powderblue'),
main = 'Preço x Área',
xlab = 'Área', ylab = 'Preço')
describeBy(casoeaston$Preço, casoeaston$Localização)##
## Descriptive statistics by group
## group: 1
## vars n mean sd median trimmed mad min max range
## X1 1 217 152362.7 19618.77 152550 153120.9 21349.44 101550 190650 89100
## skew kurtosis se
## X1 -0.28 -0.53 1331.81
## --------------------------------------------------------
## group: 2
## vars n mean sd median trimmed mad min max range
## X1 1 147 129485.7 19261.3 124350 127995.4 18013.59 99000 184800 85800
## skew kurtosis se
## X1 0.67 -0.36 1588.65
## --------------------------------------------------------
## group: 3
## vars n mean sd median trimmed mad min max range
## X1 1 97 128546.9 16448.43 125850 127388 15567.3 99450 177750 78300
## skew kurtosis se
## X1 0.69 0.16 1670.08Preços x Mês:
boxplot(casoeaston$Preço~casoeaston$Mês,
col = c('powderblue'),
main = 'Preço x Mês da Venda',
xlab = 'Mês', ylab = 'Preço')
describeBy(casoeaston$Preço, casoeaston$Mês)##
## Descriptive statistics by group
## group: 3
## vars n mean sd median trimmed mad min max range
## X1 1 126 146739.3 22362.28 148500 146669.1 27687.55 99450 190650 91200
## skew kurtosis se
## X1 0.01 -1.04 1992.19
## --------------------------------------------------------
## group: 4
## vars n mean sd median trimmed mad min max range
## X1 1 118 143103.8 21212.41 144675 142589.1 25241.26 100050 187500 87450
## skew kurtosis se
## X1 0.11 -0.93 1952.76
## --------------------------------------------------------
## group: 5
## vars n mean sd median trimmed mad min max range
## X1 1 114 136782.9 22152.39 133575 135847.8 23684.53 102000 179550 77550
## skew kurtosis se
## X1 0.32 -0.98 2074.76
## --------------------------------------------------------
## group: 6
## vars n mean sd median trimmed mad min max range
## X1 1 103 132014.6 19852.77 131100 130948.2 22461.39 99000 181500 82500
## skew kurtosis se
## X1 0.43 -0.58 1956.15Preços x Idade:
boxplot(casoeaston$Preço~casoeaston$Idade,
col = c('powderblue'),
main = 'Preço x Idade',
xlab = 'Idade', ylab = 'Preço')
Análise da venda de cada casa:
1ª Casa:
Fica localizada em Arlington, tem 4 anos, possui 203 m², 3 quartos e foi vendida por 88.500 dólares.
Logo, com tais dados recolhidos através dos gráficos, médias, medianas e desvio padrão é possível realizar uma comparação. Tais comparações nos mostraram que o preço das casas em Arlington são mais baixos em relação a Dallas e Fort Worth. Em relação a área vemos que uma casa com aproximadamente 203 m² fica na média do valor de R$158.925, ou seja, acima do que foi vendida. Com o gráfico relacionando a quantidade de quartos com o preço é tido que conforme maior for essa quantidade, maior será o preço.
2ª Casa:
Localiziada em Fort Worth, tem 9 anos, 3 quartos, tem 172 m² e foi vendida por 79.500.
Com tais dados, percebemos que por se localizar em Fort Worth seu valor já é mais valorizado em relação aos Arredores Metropolitanos, cuja média do valor das casas fica em torno de R$129.485. Porém possui idade elevada (9 anos), que consequentemente pode vir a reduzir o valor de venda. Ao vermos os quartos, como dito anteriormente, quanto mais quartos, maior será seu preço de venda. Já ao analisarmos seu tamanho é possível identificarmos no gráfico e pelas médias tidas que quanto maior a casa, maior o seu valor. E sua média de preço baseada nessa variável fica em torno de R$120.900.
Conclusão:
Primeiramente, baseado no estudo de caso vemos que as reclamações não podem se basear em um artigo de um jornal local sobre vendas de casa, pois tal pesquisa não utilizou variáveis, como a idade da casa, quantidade de quartos, utilizou somente de um padrão baseado nas casas típicas da área DFW e as vendas tidas nos últimos 12 meses. Sendo que nesse tempo houve uma crise, que teve como consequência a redução do valor médio das casas.
E um ponto a ser ressaltado também é o fato da comparação de preços entre a Imobiliária Easton e as outras agencias não obteve uma diferença significativa ao ponto dos clientes em questão reclamarem de uma suposta subvalorização.
Logo, com as análises individuais de cada casa, é possível afirmarmos que não houve uma subvalorização das casas da Easton Imobiliária, mas uma pequena redução em relação ao valor médio, pois a diferença tida não é considerável agravante ao ponto de ser uma subvalorização.