Question

Country |
Life expectancy (years) |
Infant mortality (deaths per 1,000 live births) |
|||

1 |
58 |
105 |
|||

2 |
57 |
106 |
|||

3 |
60 |
64 |
|||

4 |
57 |
66 |
|||

5 |
58 |
70 |
|||

6 |
63 |
56 |
|||

7 |
61 |
45 |
|||

8 |
65 |
30 |
|||

9 |
62 |
49 |
|||

10 |
66 |
42 |
|||

11 |
64 |
28 |
|||

12 |
79 |
10 |
|||

13 |
72 |
6 |
|||

14 |
79 |
4 |
|||

15 |
80 |
4 |
|||

16 |
75 |
1 |

**b.** Compute r and r2. Based on the value for
r2, determine how much of the variation in the variable can be
accounted for by the best-fit line.

r =

r2 =

Answer #1

**Solution:** We will use Excel to find the
Correlation coefficient r between the two variables and the results
are given below:

**Therefore the
correlation Coefficient Between Life Expectancy and Infant
mortality is -0.88 rounded to two decimal places**

**or r= -0.88**

**And
**

**So it means 77% of the variation in the variable can be
accounted for by the best-fit line.**

Exercise 16.037
{Exercise 16.37}
The following exercises require the use of a
computer and software.
Use a 5% significance level for all tests of
hypotheses.
Dataset:
Income
Food
53
188.24
47
304.89
59
304.99
44
283.99
87
316.21
56
263.32
62
315.87
60
201.52
70
295.5
85
318.53
63
278.78
57
254.34
59
253.79
64
310.97
45
215.79
62
248.34
63
299.66
55
220.72
77
319.58
52
280.96
72
259.73
64
254.5
68
181.99
54
256.8
63
258.54
57
203.91...

Student Grades
Student
Test
Grade
1
76
62
2
84
90
3
79
68
4
88
84
5
76
58
6
66
79
7
75
73
8
94
93
9
66
65
10
92
86
11
80
53
12
87
83
13
86
49
14
63
72
15
92
87
16
75
89
17
69
81
18
92
94
19
79
78
20
60
71
21
68
84
22
71
74
23
61
74
24
68
54
25
76
97...

This dataset contains consumer responses indicating the number
of times they had to send their product for repair and their
satisfaction with the repair process. Create a graph which can be
used to visually demonstrate the relationship between the two
columns of data. Ensure that the chart is professional with
appropriate titles, axis labels, etc. Note any observations you see
in your visualization (type these as sentences directly into an
Excel cell(s)).
Sample
Satisfaction Rating
Repair Requests
1
63%
13...

Many standard statistical methods that you will study in Part II
of this book are intended for use with distributions that are
symmetric and have no outliers. These methods start with the mean
and standard deviation, x and s. For example,
standard methods would typically be used for the IQ and GPA data
here data215.dat.
(a) Find x and s for the IQ data. (Round your
answers to two decimal places.)
s=
Here are the numbers
obs gpa iq gender...

Bag
Blue
Orange
Green
Yellow
Red
Brown
Total Number of Candies
1
7
23
9
11
4
6
60
2
16
16
4
7
9
4
56
3
14
14
3
10
5
11
57
4
13
14
7
8
8
6
56
5
18
12
7
10
5
7
59
6
12
9
11
9
8
8
57
7
15
16
6
6
6
8
57
8
15
17
8
4
6
7
57
9
12
14
10
5...

StudentNO
Gender
Height in inchese
1
Female
63
2
Female
64.0
3
Male
67.0
4
Female
59
5
Male
60
6
Female
61
7
Female
62
8
Female
63
9
Female
63
10
Female
64
11
Male
64
12
Female
65
13
Female
65
14
Female
65
15
Female
65
16
Female
66
17
Female
66
18
Male
67
19
Male
67
20
Male
67
21
Female
67
22
Male
67
23
Male
67
24
Female
67.5
25
Male
68...

The vice president of the student organization has asked you to
create an estimate of the proportion of students who have attained
more than 60 credit hours. You ask her what level of confidence she
wants to have in the estimate and she says that she would like to
be 90% confident in the proportion estimate. Create the confidence
interval using the sample data. Write a sentence or two to
communicate the results to her.
Student
More than 60 credit...

Table 1. Use the information to calculate the following
TC, AFC, AVC, ATC, AND MC (I through 50)
TP
TFC
TVC
TC
AFC
AVC
ATC
MC
150
0
(1)
(11)
(21)
(31)
(41)
2
150
70
(2)
(12)
(22)
(32)
(42)
3
150
130
(3)
(13)
(23)
(33)
(43)
4
150
240
(4)
(14)
(24)
(34)
(44)
5
150
300
(5)
(15)
(25)
(35)
(45)
6
150
360
(6)
(16)
(26)
(36)
(46)
7
150
390
(7)
(17)
(27)
(37)...

1. What is the 95% CI for the mean starting salary of all
employees who stay at least 3 years?
Case Study: Employee Retention at D&Y
Employee
Starting Salary
On Road Pct
State Univ
CIS Degree
Stayed 3 Years
Tenure
1
38900
57%
Yes
Yes
No
11
2
42300
68%
Yes
Yes
No
5
3
39800
75%
No
Yes
No
21
4
35700
29%
No
Yes
Yes
5
40400
71%
No
Yes
No
19
6
36400
62%
No
Yes
No...

A physiological experiment was concluded to study the effect of
various factors on a pulse rate. The participants took their own
pulse. They then were asked to flip a coin. If their coin came up
head, they were to run in place for 1 minute. Then everyone took
their own pulse again. The dataset pulse.txt, available from
Moodle, contains the following variables: ROW- id numbers, from 1
to 92; PULSE1- first pulse rate; PULSE2- second pulse rate;
RAN-1=ran in place,...

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