4.5 Consider the multiple regression model fit to the house price data. URIA SEIS FUR EACKLISES 331 TABLE B.4 Property Valuation Data x₁ X₂ X₂ X₂ X₂ x₂ X₂ 25.9 4.9176 1.0 3.4720 0.9980 4 29.5 5.0208 1.0 3.5310 1.5000 4 27.9 4.5429 1.0 2.2750 1.1750 3 25.9 4.5573 1.0 4.0500 1.2320 3 29.9 5.0597 1.0 4.4550 1.1210 3 29.9 3.8910 1.0 4.4550 0.9880 6 3 5.8500 1.2400 7 3 51 9.5200 1.5010 3 6.4350 1.2250 3 30.9 5.8980 1.0 28.9 5.6039 1.0 35.9 5.8282 1.0 31.5 5.3003 1.0 6.2712 1.0 5.9592 1.0 4.9883 1.5520 3 31.0 5.5200 0.9750 2 30.9 6.6660 1.1210 3 30.0 5.0500 1.0 5.0000 1.0200 2 36.9 8.2464 1.5 5.1500 1.6640 4 41.9 6.6969 1.5 6.9020 1.4880 3 7.1020 1.3760 3 40.5 7.7841 1.5 43.9 9.0384 1.0 7.8000 1.5000 3 5.5200 1.2560 2.0 3 5.0000 1.6900 1.0 3 37.5 5.9894 1.0 37.9 7.5422 1.5 8.7951 1.5 6.0831 1.5 44.5 9.8900 1.8200 2.0 4 37.9 6.7265 1.6520 1.0 6 3 38.9 8.3607 1.5 9.1500 1.7770 2.0 8 4 36.9 8.1400 1.0 8.0000 1.5040 2.0 7 3 45.8 9.1416 1.5 7.3262 1.8310 1.5 8 31 a. Construct a normal probability plot of the residuals. Does there seem to be any problem with the normality assumption? 1.0 2.0 1.0 1.0 1.0 1.0 1.0 0.0 2.0 1.0 1.0 2.0 0.0 2.0 1.5 1.0 15 H 976 7 7 6 6 6 766687 6 6 6 5 6 5 8 7 6 。76606% 7 6 6 8 - بیا بیا بیا بیا بیا بیا بیا بیا را با را ما بیا بیا بیا بیا با ما تا به 3 Cu$85885586588532852585* TOTOTOOTOTOOOOOOO0000 42 40 54 42 30 30 46 50 17 40 50 44 48 1 1
4.5 Consider the multiple regression model fit to the house price data. URIA SEIS FUR EACKLISES 331 TABLE B.4 Property Valuation Data x₁ X₂ X₂ X₂ X₂ x₂ X₂ 25.9 4.9176 1.0 3.4720 0.9980 4 29.5 5.0208 1.0 3.5310 1.5000 4 27.9 4.5429 1.0 2.2750 1.1750 3 25.9 4.5573 1.0 4.0500 1.2320 3 29.9 5.0597 1.0 4.4550 1.1210 3 29.9 3.8910 1.0 4.4550 0.9880 6 3 5.8500 1.2400 7 3 51 9.5200 1.5010 3 6.4350 1.2250 3 30.9 5.8980 1.0 28.9 5.6039 1.0 35.9 5.8282 1.0 31.5 5.3003 1.0 6.2712 1.0 5.9592 1.0 4.9883 1.5520 3 31.0 5.5200 0.9750 2 30.9 6.6660 1.1210 3 30.0 5.0500 1.0 5.0000 1.0200 2 36.9 8.2464 1.5 5.1500 1.6640 4 41.9 6.6969 1.5 6.9020 1.4880 3 7.1020 1.3760 3 40.5 7.7841 1.5 43.9 9.0384 1.0 7.8000 1.5000 3 5.5200 1.2560 2.0 3 5.0000 1.6900 1.0 3 37.5 5.9894 1.0 37.9 7.5422 1.5 8.7951 1.5 6.0831 1.5 44.5 9.8900 1.8200 2.0 4 37.9 6.7265 1.6520 1.0 6 3 38.9 8.3607 1.5 9.1500 1.7770 2.0 8 4 36.9 8.1400 1.0 8.0000 1.5040 2.0 7 3 45.8 9.1416 1.5 7.3262 1.8310 1.5 8 31 a. Construct a normal probability plot of the residuals. Does there seem to be any problem with the normality assumption? 1.0 2.0 1.0 1.0 1.0 1.0 1.0 0.0 2.0 1.0 1.0 2.0 0.0 2.0 1.5 1.0 15 H 976 7 7 6 6 6 766687 6 6 6 5 6 5 8 7 6 。76606% 7 6 6 8 - بیا بیا بیا بیا بیا بیا بیا بیا را با را ما بیا بیا بیا بیا با ما تا به 3 Cu$85885586588532852585* TOTOTOOTOTOOOOOOO0000 42 40 54 42 30 30 46 50 17 40 50 44 48 1 1
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
Transcribed Image Text:4.5 Consider the multiple regression model fit to the house price data.
UAIA SEIS FUR EXERLIDES
331
TABLE B.4 Property Valuation Data
y
X₁
X₂
X3
Xx₂
X₂
X₂
25.9
4.9176 1.0
3.4720
0.9980
4
29.5
5.0208
1.0
3.5310
1.5000
4
27.9
4.5429
1.0
2.2750
1.1750
3
25.9
4.5573
1.0
4.0500
1.2320
3
29.9
5.0597
1.0
4.4550
1.1210
3
29.9
3.8910 1.0
4.4550
0.9880
3
30.9
5.8980
1.0
5.8500
1.2400
3 51
28.9
5.6039
1.0
9.5200
1.5010
3
35.9
5.8282
1.0
6.4350
1.2250
3
31.5
5.3003
1.0 4.9883
1.5520
3
31.0 6.2712 1.0
5.5200
0.9750
2
30.9
5.9592 1.0
6.6660
1.1210
3
30.0
5.0000
1.0200
2
5.0500 1.0
8.2464 1.5 5.1500
36.9
1.6640
4
41.9
6.6969 1.5
6.9020
1.4880
3
40.5
7.7841 1.5
7.1020
1.3760
3
43.9
9.0384 1.0
7.8000
1.5000
3
0
37.5
5.9894 1.0 5.5200
1.2560
2.0
3
1
37.9
7.5422 1.5
5.0000 1.6900
1.0
3
0
44.5
8.7951 1.5 9.8900
1.8200
2.0
4
50 1
37.9
6.7265
1.6520
1.0
3
44
0
6.0831 1.5
8.3607 1.5
38.9
9.1500
1.7770
2.0
4
48 1
36.9
8.0000
1.5040
2.0
7 3
0
8.1400 1.0
9.1416 1.5 7.3262 1.8310
45.8
1.5 8 4
31
0
a. Construct a normal probability plot of the residuals. Does there seem to be any
problem with the normality assumption?
1.0
2.0
1.0
1.0
1.0
1.0
1.0
0.0
2.0
1.0
1.0
2.0
0.0
2.0
1.5
1.0
15
X
7
7
6
6
6
6
7
。66565
6
6
5
6
5
8
7
6
7
6
。69687
6
8
6
8
X
whNb8588588352552695*
TOTOTOOTOTOOOOOOOOOOO
را برا برا را با را ما با
MMMNMNH3
را برا برا - با -
42
40
54
42
30
30
46
50
17
40
0
0
1
0
0
0
1
0
1
0
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