How much would a 30 year-old, 1,500 square foot, 3 bedroom, non-brick house be worth based on your adjusted regression equation after deleting any insignificant variables? ObservationHouse Age Square FeetBedroomsBrickLot sizePrice1331812210872$405,0002321914319570$469,800332184212894$419,85043318129060$409,5003218363111016$458,5506.3320283114196$488,2507321732212124$394,200331850319250$432,000932179110746$401,4001033166628330$397,800113218524111112$504,00012321620111340$483,5001332169238460$437,500143223724114232$570,00015322372114232$566,000163316669996$437,500173221234114861$580,500183216208100$473,5001932173138655$432,0002032166639996$435,5002128152010640$417,000222714847420$399,0002328158827940$407,5002428159837990$435,50025281484310388$413,000263314847420$394,0002728152010640$438,00028271701311907$471,000292814848904$410,0003028146837340$440,5003128152010640$440,500322715209120$443,0003334148428904$383,0003428152039120$422,0003527166838340$454,5003628158811116$405,0003728178410704$456,5003827148428904$406,50039271520419120$503,500402815209120$436,000412716843111788$483,50042271581419486$603,500

Adjusted Regression Equation: Excel Procedure: Enter House Age, Square Feet, Bedrooms, Brick and…

Answered: How much would a 30 year-old, 1,500…

How much would a 30 year-old, 1,500 square foot, 3 bedroom, non-brick house be worth based on your adjusted regression equation after deleting

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

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Question

How much would a 30 year-old, 1,500 square foot, 3 bedroom, non-brick house be worth based on your adjusted regression equation after deleting any insignificant variables?

Observation
House Age Square Feet
Bedrooms
Brick
Lot size
Price
1
33
1812
2
10872
$405,000
2
32
1914
3
1
9570
$469,800
3
32
1842
12894
$419,850
4
33
1812
9060
$409,500
32
1836
3
1
11016
$458,550
6.
33
2028
3
1
14196
$488,250
7
32
1732
2
12124
$394,200
33
1850
3
1
9250
$432,000
9
32
1791
10746
$401,400
10
33
1666
2
8330
$397,800
11
32
1852
4
1
11112
$504,000
12
32
1620
1
11340
$483,500
13
32
1692
3
8460
$437,500
14
32
2372
4
1
14232
$570,000
15
32
2372
1
14232
$566,000
16
33
1666
9996
$437,500
17
32
2123
4
1
14861
$580,500
18
32
1620
8100
$473,500
19
32
1731
3
8655
$432,000
20
32
1666
3
9996
$435,500
21
28
1520
10640
$417,000
22
27
1484
7420
$399,000
23
28
1588
2
7940
$407,500
24
28
1598
3
7990
$435,500
25
28
1484
3
10388
$413,000
26
33
1484
7420
$394,000
27
28
1520
10640
$438,000
28
27
1701
3
11907
$471,000
29
28
1484
8904
$410,000
30
28
1468
3
7340
$440,500
31
28
1520
10640
$440,500
32
27
1520
9120
$443,000
33
34
1484
2
8904
$383,000
34
28
1520
3
9120
$422,000
35
27
1668
3
8340
$454,500
36
28
1588
11116
$405,000
37
28
1784
10704
$456,500
38
27
1484
2
8904
$406,500
39
27
1520
4
1
9120
$503,500
40
28
1520
9120
$436,000
41
27
1684
3
1
11788
$483,500
42
27
1581
4
1
9486
$603,500

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