Ryanita Queen Bedroom Set Guide: When you research the data sets of a real estate what question are you going to answering?

Happy

This is a scenario,
X1: Selling price (in thousands)
X2: Number of bedrooms
X3: Size of the home in square feet
X4: Pool (0=no, 1=yes)
X5: Distance from the center of the city in miles
X6: Township
X7: Garage attached (0=no, 1=yes)
X8: Number of bathrooms
105 homes sold
Price Bedroom size Pool Distance Twnship garage Baths
263.142300117512
182.442100019402
242.132300012302
213.622200016202.5
139.922100028101.5
245.422100112112
327.262500015312
271.82210009212.5
221.132300118101.5
266.642400013412
292.442100014312
2092170008411.5
270.86250007412
246.142100018312
194.422300011302
281.332100016212
172.742200116302
207.552300121402.5
198.932200110412
209.361900115412
252.34260008412
192.941900114212.5
209.352100020501.5
345.38260009412
326.362100011513
173.122200121511.5
18721900026402
257.22210009412
23332200014311.5
180.422000011502
23421700019312
207.122000011512
247.752400016212
166.232000116212
177.121900010512
182.742000114402.5
21642300019202
312.16260007512.5
199.832100019312
273.252200016213
2063210019301.5
232.231900116111.5
198.342100119111.5
205.132000120402
175.642300124412
307.832400121213
269.25220008513
224.832200017112.5
171.632000116402
216.832200015112
192.662200114102
236.452200020312
172.432200023302
251.431900012212
2466230007313
147.461700112102
17642200015112
228.432300017511.5
166.531600119302.5
189.442200024112
312.172400013313
289.862000021313
269.952200111412.5
154.322000013202
222.12210009512
209.752200113212
190.932200118312
254.342500115312
207.532100110202
209.742200119212
29422100013212.5
176.322000117302
294.37240008412
2243190016112
12521900018401.5
236.842600117512
164.142300019402
217.832500012302
192.222400016202.5
125.922400028101.5
220.922300112112
294.562700015312
244.62230009212.5
19932500118101.5
24042600013412
263.242300014312
188.12190008411.5
243.76270007412
221.542300018312
17522500011302
253.232300016212
155.442400116302
186.752500121402.5
17932400110412
188.362100115412
227.14290008412
173.642100114212.5
188.352300020501.5
310.88290009412
293.762400011513
1793240008412
188.362100114212.5
227.142900020501.5
173.64210009412
188.352300011513

Answer
It is unclear what you are asking.

Below is the real estate data set, The problem statement is "Are homes more expensive as they get closer to th

josie j

Below is the real estate data set, The problem statement is "Are homes more expensive as they get closer to the city". Prepare one table that presents descriptive statistics (mean, median, mode, standard deviation, minimum, maximum)for each of the variables in your data set. Include for each variable whether it is "nominal, ordinal, interval or ratio"

PriceBedroomsSizePoolDistanceTwnshipGarageBaths
263.142300117512
182.442100019402
242.132300012302
213.622200016202.5
139.922100028101.5
245.422100112112
327.262500015312
271.82210009212.5
221.132300118101.5
266.642400013412
292.442100014312
2092170008411.5
270.86250007412
246.142100018312
194.422300011302
281.332100016212
172.742200116302
207.552300121402.5
198.932200110412
209.361900115412
252.34260008412
192.941900114212.5
209.352100020501.5
345.38260009412
326.362100011513
173.122200121511.5
18721900026402
257.22210009412
23332200014311.5
180.422000011502
23421700019312
207.122000011512
247.752400016212
166.232000116212
177.121900010512
182.742000114402.5
21642300019202
312.16260007512.5
199.832100019312
273.252200016213
2063210019301.5
232.231900116111.5
198.342100119111.5
205.132000120402
175.642300124412
307.832400121213
269.25220008513
224.832200017112.5
171.632000116402
216.832200015112
192.662200114102
236.452200020312
172.432200023302
251.431900012212
2466230007313
147.461700112102
17642200015112
228.432300017511.5
166.531600119302.5
189.442200024112
312.172400013313
289.862000021313
269.952200111412.5
154.322000013202
222.12210009512
209.752200113212
190.932200118312
254.342500115312
207.532100110202
209.742200119212
29422100013212.5
176.322000117302
294.37240008412
2243190016112
12521900018401.5
236.842600117512
164.142300019402
217.832500012302
192.222400016202.5
125.922400028101.5
220.922300112112
294.562700015312
244.62230009212.5
19932500118101.5
24042600013412
263.242300014312
188.12190008411.5
243.76270007412
221.542300018312
17522500011302
253.232300016212
155.442400116302
186.752500121402.5
17932400110412
188.362100115412
227.14290008412
173.642100114212.5
188.352300020501.5
310.88290009412
293.762400011513
1793240008412
188.362100114212.5
227.142900020501.5
173.64210009412
188.352300011513

Answer
Copy everything into Excel, sort the data by distance, and graph. There is a slight trend to be seen