The multiple regression models to the given data.
|
Price
|
Bedrooms
|
Size
|
Pool
|
Distance
|
Twnship
|
Garage
|
Baths
|
|
263.1
|
4
|
2300
|
1
|
17
|
5
|
1
|
2
|
|
182.4
|
4
|
2100
|
0
|
19
|
4
|
0
|
2
|
|
242.1
|
3
|
2300
|
0
|
12
|
3
|
0
|
2
|
|
213.6
|
2
|
2200
|
0
|
16
|
2
|
0
|
2.5
|
|
139.9
|
2
|
2100
|
0
|
28
|
1
|
0
|
1.5
|
|
245.4
|
2
|
2100
|
1
|
12
|
1
|
1
|
2
|
|
327.2
|
6
|
2500
|
0
|
15
|
3
|
1
|
2
|
|
271.8
|
2
|
2100
|
0
|
9
|
2
|
1
|
2.5
|
|
221.1
|
3
|
2300
|
1
|
18
|
1
|
0
|
1.5
|
|
266.6
|
4
|
2400
|
0
|
13
|
4
|
1
|
2
|
|
292.4
|
4
|
2100
|
0
|
14
|
3
|
1
|
2
|
|
209
|
2
|
1700
|
0
|
8
|
4
|
1
|
1.5
|
|
270.8
|
6
|
2500
|
0
|
7
|
4
|
1
|
2
|
|
246.1
|
4
|
2100
|
0
|
18
|
3
|
1
|
2
|
|
194.4
|
2
|
2300
|
0
|
11
|
3
|
0
|
2
|
|
281.3
|
3
|
2100
|
0
|
16
|
2
|
1
|
2
|
|
172.7
|
4
|
2200
|
1
|
16
|
3
|
0
|
2
|
|
207.5
|
5
|
2300
|
1
|
21
|
4
|
0
|
2.5
|
|
198.9
|
3
|
2200
|
1
|
10
|
4
|
1
|
2
|
|
209.3
|
6
|
1900
|
1
|
15
|
4
|
1
|
2
|
|
252.3
|
4
|
2600
|
0
|
8
|
4
|
1
|
2
|
|
192.9
|
4
|
1900
|
1
|
14
|
2
|
1
|
2.5
|
|
209.3
|
5
|
2100
|
0
|
20
|
5
|
0
|
1.5
|
|
345.3
|
8
|
2600
|
0
|
9
|
4
|
1
|
2
|
|
326.3
|
6
|
2100
|
0
|
11
|
5
|
1
|
3
|
|
173.1
|
2
|
2200
|
1
|
21
|
5
|
1
|
1.5
|
|
187
|
2
|
1900
|
0
|
26
|
4
|
0
|
2
|
|
257.2
|
2
|
2100
|
0
|
9
|
4
|
1
|
2
|
|
233
|
3
|
2200
|
0
|
14
|
3
|
1
|
1.5
|
|
180.4
|
2
|
2000
|
0
|
11
|
5
|
0
|
2
|
|
234
|
2
|
1700
|
0
|
19
|
3
|
1
|
2
|
|
207.1
|
2
|
2000
|
0
|
11
|
5
|
1
|
2
|
|
247.7
|
5
|
2400
|
0
|
16
|
2
|
1
|
2
|
|
166.2
|
3
|
2000
|
1
|
16
|
2
|
1
|
2
|
|
177.1
|
2
|
1900
|
0
|
10
|
5
|
1
|
2
|
|
182.7
|
4
|
2000
|
1
|
14
|
4
|
0
|
2.5
|
|
216
|
4
|
2300
|
0
|
19
|
2
|
0
|
2
|
|
312.1
|
6
|
2600
|
0
|
7
|
5
|
1
|
2.5
|
|
199.8
|
3
|
2100
|
0
|
19
|
3
|
1
|
2
|
|
273.2
|
5
|
2200
|
0
|
16
|
2
|
1
|
3
|
|
206
|
3
|
2100
|
1
|
9
|
3
|
0
|
1.5
|
|
232.2
|
3
|
1900
|
1
|
16
|
1
|
1
|
1.5
|
|
198.3
|
4
|
2100
|
1
|
19
|
1
|
1
|
1.5
|
|
205.1
|
3
|
2000
|
1
|
20
|
4
|
0
|
2
|
|
175.6
|
4
|
2300
|
1
|
24
|
4
|
1
|
2
|
|
307.8
|
3
|
2400
|
1
|
21
|
2
|
1
|
3
|
|
269.2
|
5
|
2200
|
0
|
8
|
5
|
1
|
3
|
|
224.8
|
3
|
2200
|
0
|
17
|
1
|
1
|
2.5
|
|
171.6
|
3
|
2000
|
1
|
16
|
4
|
0
|
2
|
|
216.8
|
3
|
2200
|
0
|
15
|
1
|
1
|
2
|
|
192.6
|
6
|
2200
|
1
|
14
|
1
|
0
|
2
|
|
236.4
|
5
|
2200
|
0
|
20
|
3
|
1
|
2
|
|
172.4
|
3
|
2200
|
0
|
23
|
3
|
0
|
2
|
|
251.4
|
3
|
1900
|
0
|
12
|
2
|
1
|
2
|
|
246
|
6
|
2300
|
0
|
7
|
3
|
1
|
3
|
|
147.4
|
6
|
1700
|
1
|
12
|
1
|
0
|
2
|
|
176
|
4
|
2200
|
0
|
15
|
1
|
1
|
2
|
|
228.4
|
3
|
2300
|
0
|
17
|
5
|
1
|
1.5
|
|
166.5
|
3
|
1600
|
1
|
19
|
3
|
0
|
2.5
|
|
189.4
|
4
|
2200
|
0
|
24
|
1
|
1
|
2
|
|
312.1
|
7
|
2400
|
0
|
13
|
3
|
1
|
3
|
|
289.8
|
6
|
2000
|
0
|
21
|
3
|
1
|
3
|
|
269.9
|
5
|
2200
|
1
|
11
|
4
|
1
|
2.5
|
|
154.3
|
2
|
2000
|
0
|
13
|
2
|
0
|
2
|
|
222.1
|
2
|
2100
|
0
|
9
|
5
|
1
|
2
|
|
209.7
|
5
|
2200
|
1
|
13
|
2
|
1
|
2
|
|
190.9
|
3
|
2200
|
1
|
18
|
3
|
1
|
2
|
|
254.3
|
4
|
2500
|
1
|
15
|
3
|
1
|
2
|
|
207.5
|
3
|
2100
|
1
|
10
|
2
|
0
|
2
|
|
209.7
|
4
|
2200
|
1
|
19
|
2
|
1
|
2
|
|
294
|
2
|
2100
|
0
|
13
|
2
|
1
|
2.5
|
|
176.3
|
2
|
2000
|
1
|
17
|
3
|
0
|
2
|
|
294.3
|
7
|
2400
|
0
|
8
|
4
|
1
|
2
|
|
224
|
3
|
1900
|
1
|
6
|
1
|
1
|
2
|
|
125
|
2
|
1900
|
0
|
18
|
4
|
0
|
1.5
|
|
236.8
|
4
|
2600
|
1
|
17
|
5
|
1
|
2
|
|
164.1
|
4
|
2300
|
0
|
19
|
4
|
0
|
2
|
|
217.8
|
3
|
2500
|
0
|
12
|
3
|
0
|
2
|
|
192.2
|
2
|
2400
|
0
|
16
|
2
|
0
|
2.5
|
|
125.9
|
2
|
2400
|
0
|
28
|
1
|
0
|
1.5
|
|
220.9
|
2
|
2300
|
1
|
12
|
1
|
1
|
2
|
|
294.5
|
6
|
2700
|
0
|
15
|
3
|
1
|
2
|
|
244.6
|
2
|
2300
|
0
|
9
|
2
|
1
|
2.5
|
|
199
|
3
|
2500
|
1
|
18
|
1
|
0
|
1.5
|
|
240
|
4
|
2600
|
0
|
13
|
4
|
1
|
2
|
|
263.2
|
4
|
2300
|
0
|
14
|
3
|
1
|
2
|
|
188.1
|
2
|
1900
|
0
|
8
|
4
|
1
|
1.5
|
|
243.7
|
6
|
2700
|
0
|
7
|
4
|
1
|
2
|
|
221.5
|
4
|
2300
|
0
|
18
|
3
|
1
|
2
|
1) Formulate the hypothesis statement regarding your research issue.
2) Identify Independent and Dependent variable being investigated.