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
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 4GP
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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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