Life Exp HS State Name Murder Grad Income Illiteracy Alabama 15.1 41.3 3624 2.1 69.05 Alaska 11.3 66.7 6315 1.5 69.31 Arizona 7.8 58.1 4530 1.8 70.55 Arkansas 10.1 39.9 3378 1.9 70.66 California 10.3 62.6 5114 1.1 71.71 Colorado 6.8 63.9 4884 0.7 72.06 Connecticut 3.1 56 5348 1.1 72.48 Delaware 6.2 54.6 4809 0.9 70.06 Florida 10.7 52.6 4815 1.3 70.66 Georgia 13.9 40.6 4091 2 68.54 Hawaii 6.2 61.9 4963 1.9 73.6 Idaho 5.3 59.5 4119 0.6 71.87 Illinois 10.3 52.6 5107 0.9 70.14 Indiana 7.1 52.9 4458 0.7 70.88 lowa 2.3 59 4628 0.5 72.56 Kansas 4.5 59.9 4669 0.6 72.58 Kentucky 10.6 38.5 3712 1.6 70.1 Louisiana 13.2 42.2 3545 2.8 68.76 Maine 2.7 54.7 3694 0.7 70.39 Maryland 8.5 52.3 5299 0.9 70.22 Massachusetts 3.3 58.5 4755 1.1 71.83 Michigan 11.1 52.8 4751 0.9 70.63 Minnesota 2.3 57.6 4675 0.6 72.96 Mississippi 12.5 41 3098 2.4 68.09 Missouri 9.3 48.8 4254 0.8 70.69 Montana 5 59.2 4347 0.6 70.56 Nebraska 2.9 59.3 4508 0.6 72.6 Nevada 11.5 65.2 5149 0.5 69.03 New Hampshire 3.3 57.6 4281 0.7 71.23 New Jersey 5.2 52.5 5237 1.1 70.93 New Mexico 9.7 55.2 3601 2.2 70.32 New York 10.9 52.7 4903 1.4 70.55 North Carolina 11.1 38.5 3875 1.8 69.21 North Dakota 1.4 50.3 5087 0.8 72.78
Life Exp HS State Name Murder Grad Income Illiteracy Alabama 15.1 41.3 3624 2.1 69.05 Alaska 11.3 66.7 6315 1.5 69.31 Arizona 7.8 58.1 4530 1.8 70.55 Arkansas 10.1 39.9 3378 1.9 70.66 California 10.3 62.6 5114 1.1 71.71 Colorado 6.8 63.9 4884 0.7 72.06 Connecticut 3.1 56 5348 1.1 72.48 Delaware 6.2 54.6 4809 0.9 70.06 Florida 10.7 52.6 4815 1.3 70.66 Georgia 13.9 40.6 4091 2 68.54 Hawaii 6.2 61.9 4963 1.9 73.6 Idaho 5.3 59.5 4119 0.6 71.87 Illinois 10.3 52.6 5107 0.9 70.14 Indiana 7.1 52.9 4458 0.7 70.88 lowa 2.3 59 4628 0.5 72.56 Kansas 4.5 59.9 4669 0.6 72.58 Kentucky 10.6 38.5 3712 1.6 70.1 Louisiana 13.2 42.2 3545 2.8 68.76 Maine 2.7 54.7 3694 0.7 70.39 Maryland 8.5 52.3 5299 0.9 70.22 Massachusetts 3.3 58.5 4755 1.1 71.83 Michigan 11.1 52.8 4751 0.9 70.63 Minnesota 2.3 57.6 4675 0.6 72.96 Mississippi 12.5 41 3098 2.4 68.09 Missouri 9.3 48.8 4254 0.8 70.69 Montana 5 59.2 4347 0.6 70.56 Nebraska 2.9 59.3 4508 0.6 72.6 Nevada 11.5 65.2 5149 0.5 69.03 New Hampshire 3.3 57.6 4281 0.7 71.23 New Jersey 5.2 52.5 5237 1.1 70.93 New Mexico 9.7 55.2 3601 2.2 70.32 New York 10.9 52.7 4903 1.4 70.55 North Carolina 11.1 38.5 3875 1.8 69.21 North Dakota 1.4 50.3 5087 0.8 72.78
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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Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Question
Fifty states Here is a data set on various measures of the
50 United States. The Murder rate is per 100,000, HS
Graduation rate is in %, Income is per capita income in
dollars, Illiteracy rate is per 1000, and Life Expectancy is
in years. Find a regression model for Life Expectancy
with three predictor variables by trying all four of the
possible models.
a) Which model appears to do the best?
b) Would you leave all three predictors in this model?
c) Does this model mean that by changing the levels of
the predictors in this equation, we could affect life
expectancy in that state? Explain.
50 United States. The Murder rate is per 100,000, HS
Graduation rate is in %, Income is per capita income in
dollars, Illiteracy rate is per 1000, and Life Expectancy is
in years. Find a regression model for Life Expectancy
with three predictor variables by trying all four of the
possible models.
a) Which model appears to do the best?
b) Would you leave all three predictors in this model?
c) Does this model mean that by changing the levels of
the predictors in this equation, we could affect life
expectancy in that state? Explain.
d) Be sure to check the conditions for multiple regres-
sion. What do you conclude?
sion. What do you conclude?
Transcribed Image Text:Life
Exp
HS
State Name
Murder
Grad
Income
Illiteracy
Alabama
15.1
41.3
3624
2.1
69.05
Alaska
11.3
66.7
6315
1.5
69.31
Arizona
7.8
58.1
4530
1.8
70.55
Arkansas
10.1
39.9
3378
1.9
70.66
California
10.3
62.6
5114
1.1
71.71
Colorado
6.8
63.9
4884
0.7
72.06
Connecticut
3.1
56
5348
1.1
72.48
Delaware
6.2
54.6
4809
0.9
70.06
Florida
10.7
52.6
4815
1.3
70.66
Georgia
13.9
40.6
4091
2
68.54
Hawaii
6.2
61.9
4963
1.9
73.6
Idaho
5.3
59.5
4119
0.6
71.87
Illinois
10.3
52.6
5107
0.9
70.14
Indiana
7.1
52.9
4458
0.7
70.88
lowa
2.3
59
4628
0.5
72.56
Kansas
4.5
59.9
4669
0.6
72.58
Kentucky
10.6
38.5
3712
1.6
70.1
Louisiana
13.2
42.2
3545
2.8
68.76
Maine
2.7
54.7
3694
0.7
70.39
Maryland
8.5
52.3
5299
0.9
70.22
Massachusetts
3.3
58.5
4755
1.1
71.83
Michigan
11.1
52.8
4751
0.9
70.63
Minnesota
2.3
57.6
4675
0.6
72.96
Mississippi
12.5
41
3098
2.4
68.09
Missouri
9.3
48.8
4254
0.8
70.69
Montana
5
59.2
4347
0.6
70.56
Nebraska
2.9
59.3
4508
0.6
72.6
Nevada
11.5
65.2
5149
0.5
69.03
New Hampshire
3.3
57.6
4281
0.7
71.23
New Jersey
5.2
52.5
5237
1.1
70.93
New Mexico
9.7
55.2
3601
2.2
70.32
New York
10.9
52.7
4903
1.4
70.55
North Carolina
11.1
38.5
3875
1.8
69.21
North Dakota
1.4
50.3
5087
0.8
72.78
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