To predict the occurrence of diabetes such that an appropriate prevention measure can be taken beforehand, the medical history data of the patient have been collected and summarized in Table Q2(c)(i), while Table Q2(c)(ii) presents the correlation coefficient between each variable. Table Q2(c)(i): The medical history data of patients Blood Body Mass Index Diabetes Pedigree Function Number Plasma Height of Times Glucose Pressure Pregnant| Concentration 148 72 33.6 0.627 1.57 85 0.351 0.167 0.551 0.381 66 26.6 1.71 89 28.1 1.80 105 84 118 45.8 1.75 2 2 103 122 118 90 43.3 1.62 0.512 0.551 0.235 1.65 1.55 1.70 78 27.6 45.8 24.2 84 7 106 92 Table Q2(c)(ii): The correlation coefficient between two variables Plasma Blood Body Diabetes Height Pressure| Mass Pedigree Index Function -0.44 Number of Times Glucose Pregnant Concentration 1 Number of 0.43 0.03 -0.07 -0.22 Times Pregnant Plasma 1 -0.34 0.29 0.82 -0.64 Glucose | Concentration Blood 1 0.04 -0.63 0.44 Pressure Body Mass Index Diabetes Pedigree Function Height 0.55 -0.38 1 -0.67 Please suggest THREE variables that are possible to remove from the prediction model. Justify your choice.

Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
icon
Related questions
Question
To predict the occurrence of diabetes such that an appropriate prevention measure can
be taken beforehand, the medical history data of the patient have been collected and
summarized in Table Q2(c)(i), while Table Q2(c)(ii) presents the correlation
coefficient between each variable.
Table Q2(c)(i): The medical history data of patients
Number
Plasma
Blood
Body Mass
Diabetes
Height
of Times
Pregnant Concentration
6.
Glucose
Pedigree
Function
Pressure
Index
148
72
33.6
0.627
1.57
85
66
26.6
0.351
1.71
89
105
28.1
0.167
1.80
118
84
45.8
0.551
1.75
2
103
90
43.3
0.381
1.62
1.65
1.55
2
122
78
27.6
0.512
118
84
45.8
0.551
7
106
92
24.2
0.235
1.70
Table Q2(c)(ii): The correlation coefficient between two variables
Number
of Times
Plasma
Body Diabetes Height
Blood
Pressure Mass Pedigree
Index Function
Glucose
Pregnant Concentration
0.43
Number of
0.03
-0.44
-0.07
-0.22
Times
Pregnant
Plasma
0.29
-0.34
0.82
-0.64
Glucose
Concentration
Blood
1
0.04
-0.63
0.44
Pressure
Body Mass
0.55
1
-0.38
Index
Diabetes
-0.67
Pedigree
Function
Height
Please suggest THREE variables that are possible to remove from the prediction
model. Justify your choice.
Transcribed Image Text:To predict the occurrence of diabetes such that an appropriate prevention measure can be taken beforehand, the medical history data of the patient have been collected and summarized in Table Q2(c)(i), while Table Q2(c)(ii) presents the correlation coefficient between each variable. Table Q2(c)(i): The medical history data of patients Number Plasma Blood Body Mass Diabetes Height of Times Pregnant Concentration 6. Glucose Pedigree Function Pressure Index 148 72 33.6 0.627 1.57 85 66 26.6 0.351 1.71 89 105 28.1 0.167 1.80 118 84 45.8 0.551 1.75 2 103 90 43.3 0.381 1.62 1.65 1.55 2 122 78 27.6 0.512 118 84 45.8 0.551 7 106 92 24.2 0.235 1.70 Table Q2(c)(ii): The correlation coefficient between two variables Number of Times Plasma Body Diabetes Height Blood Pressure Mass Pedigree Index Function Glucose Pregnant Concentration 0.43 Number of 0.03 -0.44 -0.07 -0.22 Times Pregnant Plasma 0.29 -0.34 0.82 -0.64 Glucose Concentration Blood 1 0.04 -0.63 0.44 Pressure Body Mass 0.55 1 -0.38 Index Diabetes -0.67 Pedigree Function Height Please suggest THREE variables that are possible to remove from the prediction model. Justify your choice.
Expert Solution
steps

Step by step

Solved in 2 steps with 1 images

Blurred answer
Recommended textbooks for you
Computer Networking: A Top-Down Approach (7th Edi…
Computer Networking: A Top-Down Approach (7th Edi…
Computer Engineering
ISBN:
9780133594140
Author:
James Kurose, Keith Ross
Publisher:
PEARSON
Computer Organization and Design MIPS Edition, Fi…
Computer Organization and Design MIPS Edition, Fi…
Computer Engineering
ISBN:
9780124077263
Author:
David A. Patterson, John L. Hennessy
Publisher:
Elsevier Science
Network+ Guide to Networks (MindTap Course List)
Network+ Guide to Networks (MindTap Course List)
Computer Engineering
ISBN:
9781337569330
Author:
Jill West, Tamara Dean, Jean Andrews
Publisher:
Cengage Learning
Concepts of Database Management
Concepts of Database Management
Computer Engineering
ISBN:
9781337093422
Author:
Joy L. Starks, Philip J. Pratt, Mary Z. Last
Publisher:
Cengage Learning
Prelude to Programming
Prelude to Programming
Computer Engineering
ISBN:
9780133750423
Author:
VENIT, Stewart
Publisher:
Pearson Education
Sc Business Data Communications and Networking, T…
Sc Business Data Communications and Networking, T…
Computer Engineering
ISBN:
9781119368830
Author:
FITZGERALD
Publisher:
WILEY