independent variable, create a scatterplot for its relationship with test scores. Also calculate Pearson's r for each variable. Based on the scatterplot and Pearson's r, which factor has the strongest relationship with test scores? Student ID Test Score Sleep Hrs. Studied IQ GPA 1 67 6.5 4 90 2.9 77 8.5 7 102 2.8 3 96 7.5 16 130 3.8 61 4 5 93 2.2 5 89 11 125 3.1 6. 73 5 106 2.4 7 93 8. 17 122 3.4 8 58 5.5 2 88 1.7 75 8 6 100 2.4 10 82 10 8 107 3.0 11 90 12 14 118 3.6 12 69 11 92 2.0 12 102
independent variable, create a scatterplot for its relationship with test scores. Also calculate Pearson's r for each variable. Based on the scatterplot and Pearson's r, which factor has the strongest relationship with test scores? Student ID Test Score Sleep Hrs. Studied IQ GPA 1 67 6.5 4 90 2.9 77 8.5 7 102 2.8 3 96 7.5 16 130 3.8 61 4 5 93 2.2 5 89 11 125 3.1 6. 73 5 106 2.4 7 93 8. 17 122 3.4 8 58 5.5 2 88 1.7 75 8 6 100 2.4 10 82 10 8 107 3.0 11 90 12 14 118 3.6 12 69 11 92 2.0 12 102
Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
1st Edition
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter11: Data Analysis And Displays
Section: Chapter Questions
Problem 4CR
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Concept explainers
Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
Topic Video
Question

Transcribed Image Text:3. Use the following data to determine which factor is most predictive of test scores. For each
independent variable, create a scatterplot for its relationship with test scores. Also calculate Pearson's r
for each variable. Based on the scatterplot and Pearson's r, which factor has the strongest relationship
with test scores?
Student ID
Test Score Sleep
Hrs. Studied
IQ
GPA
1
67
6.5
4
90
2.9
2
77
8.5
7
102
2.8
3
96
7.5
16
130
3.8
4
61
5
93
2.2
5
89
11
125
3.1
6.
73
5
106
2.4
7
93
8
17
122
3.4
8.
58
5.5
2
88
1.7
75
100
2.4
10
82
10
8
107
3.0
11
90
12
14
118
3.6
12
69
11
3
92
2.0
13
84
7.5
9
103
3.2
14
78
6.5
13
77
2.8
15
63
2
2
99
2.5
16
87
114
3.3
17
76
8
8
110
2.4
18
70
11.5
1
125
2.8
19
72
10
4
86
2.1
20
50
70
1.5
ON 05
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