Description: Per capita numbers of cigarettes smoked/sold by 43 US States and the District of Columbia in 1960 along with death rates from various forms of cancer Variables: STATE – US State/District CIG – Number of cigarettes smoked/sold (hds per capita) BLAD – Number of deaths per 100k people in the population from bladder cancer LUNG – Number of deaths per 100k people in the population from lung cancer KID – Number of deaths per 100k people in the population from kidney cancer LEUK – Number of deaths per 100k people in the population from leukemia Research Question: Taking note that cigarette sales can be swelled by tourism, find a ‘best’ simple linear model to predict the number of cigarettes smoked/sold.
Description: Per capita numbers of cigarettes smoked/sold by 43 US States and the District of Columbia in 1960 along with death rates from various forms of cancer Variables: STATE – US State/District CIG – Number of cigarettes smoked/sold (hds per capita) BLAD – Number of deaths per 100k people in the population from bladder cancer LUNG – Number of deaths per 100k people in the population from lung cancer KID – Number of deaths per 100k people in the population from kidney cancer LEUK – Number of deaths per 100k people in the population from leukemia Research Question: Taking note that cigarette sales can be swelled by tourism, find a ‘best’ simple linear model to predict the number of cigarettes smoked/sold.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Description: Per capita numbers of cigarettes smoked/sold by 43 US States and the District of Columbia in 1960 along with death rates from various forms of cancer
Variables:
STATE – US State/District
CIG – Number of cigarettes smoked/sold (hds per capita)
BLAD – Number of deaths per 100k people in the population from bladder cancer
LUNG – Number of deaths per 100k people in the population from lung cancer
KID – Number of deaths per 100k people in the population from kidney cancer
LEUK – Number of deaths per 100k people in the population from leukemia
Research Question: Taking note that cigarette sales can be swelled by tourism, find a ‘best’ simple linear model to predict the number of cigarettes smoked/sold.
Transcribed Image Text:STATE
CIG
BLAD
LUNG
KID
LEUK
1 AL
18.20
2.90
17.05
1.59
6.15
2 AZ
25.82
3.52
19.80
2.75
6.61
3 AR
18.24
2.99
15.98
2.02
6.94
4 CA
28.60
4.46
22.07
2.66
7.06
5 СТ
31.10
5.11
22.83
3.35
7.20
6 DE
33.60
4.78
24.55
3.36
6.45
7 DC
40.46
5.60
27.27
3.13
7.08
8 FL
28.27
4.46
23.57
2.41
6.07
9 ID
20.10
3.08
13.58
2.46
6.62
10 IL
27.91
4.75
22.80
2.95
7.27
11 IN
26.18
4.09
20.30
2.81
7.00
12 10
22.12
4.23
16.59
2.90
7.69
13 KS
21.84
2.91
16.84
2.88
7.42
14 KY
23.44
2.86
17.71
2.13
6.41
15 LA
21.58
4.65
25.45
2.30
6.71
16 ME
28.92
4.79
20.94
3.22
6.24
17 MD
25.91
5.21
26.48
2.85
6.81
18 MA
26.92
4.69
22.04
3.03
6.89
19 MI
24.96
5.27
22.72
2.97
6.91
20 MN
22.06
3.72
14.20
3.54
8.28
21 MS
16.08
3.06
15.60
1.77
6.08
22 МО
27.56
4.04
20.98
2.55
6.82
23 MT
23.75
3.95
19.50
3.43
6.90
24 NB
23.32
3.72
16.70
2.92
7.80
Transcribed Image Text:25 NE
42.40
6.54
23.03
2.85
6.67
26 NJ
28.64
5.98
25.95
3.12
7.12
27 NM
21.16
2.90
14.59
2.52
5.95
28 NY
29.14
5.30
25.02
3.10
7.23
29 ND
19.96
2.89
12.12
3.62
6.99
30 ОН
26.38
4.47
21.89
2.95
7.38
31 ОК
23.44
2.93
19.45
2.45
7.46
32 РЕ
23.78
4.89
12.11
2.75
6.83
33 RI
29.18
4.99
23.68
2.84
6.35
34 SC
18.06
3.25
17.45
2.05
5.82
35 SD
20.94
3.64
14.11
3.11
8.15
36 TE
20.08
2.94
17.60
2.18
6.59
37 TX
22.57
3.21
20.74
2.69
7.02
38 UT
14.00
3.31
12.01
2.20
6.71
39 VT
25.89
4.63
21.22
3.17
6.56
40 WA
21.17
4.04
20.34
2.78
7.48
41 WI
21.25
5.14
20.55
2.34
6.73
42 wV
22.86
4.78
15.53
3.28
7.38
43 WY
28.04
3.20
15.92
2.66
5.78
44 АК
30.34
3.46
25.88
4.32
4.90
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