Question
In: Statistics and Probability
The accompanying data show the number of hours, x, studied for and the grade received, y...
The accompanying data show the number of hours, x, studied for and the grade received, y (y is measured in tens; that is, y = 8 means that the grade, rounded to the nearest 10 points, is 80).
| x | 2 | 3 | 3 | 4 | 5 | 5 | 5 | 6 | 6 | 6 | 6 | 7 | 7 | 7 | 8 |
| y | 5 | 5 | 7 | 5 | 6 | 7 | 8 | 6 | 9 | 8 | 7 | 9 | 10 | 8 | 9 |
(a) Use the given scatter diagram to estimate r for the
sample data on the number of hours studied and the grade.
r ≈
(b) Calculate r. (Give your answer correct to two decimal
places.)
r =
Solutions
orchestra answered 2 years agoRelated Solutions
The number of hours studied, x, is compared with the grade received, y. x 4 7...
The number of hours studied, x, is compared with the
grade received, y.
x
4
7
1
6
4
y
75
75
65
95
60
(a) Complete the preliminary calculations: SS(x), SS(y), and
SS(xy).
(SS(x))
(SS(y))
(SS(xy))
(b) Find r. (Give your answer correct to three decimal
places.)
The following data represent the number of days absent (x) and the final grade (y) for...
The following data represent the number of days absent (x) and
the final grade (y) for a sample of college students in a
statistics course at a large university.
Number of absences (x):
0
1
2
3
4
5
6
7
8 9
Final grade
(y):
89.2 86.4 83.5
81.1 78.2 73.9
64.3 71.8 65.5 66.2
Draw a scatter diagram on graph paper. The number of days
absent is the explanatory variable and the final grade is the
response variable....
The following data represent the number of days absent (x) and the final grade (y) for...
The following data represent the number of days absent (x) and
the final grade (y) for a sample of college students in a
statistics course at a large university.
Number of absences (x): 0 1 2 3 4 5 6 7 8 9
Final grade (y): 89.2 86.4 83.5 81.1 78.2 73.9 64.3 71.8 65.5
66.2
a) Draw a scatter diagram on graph paper. The number of days
absent is the explanatory variable and the final grade is the
response...
The data below represent the number of days absent, x, and the final grade, y, for...
The data below represent the number of days absent, x, and the
final grade, y, for a sample of college students at a large
university. Complete parts (a) through (e) below.
Number of absences, x
Final grade, y
0
88.5
1
85.6
2
82.5
3
79.9
4
76.9
5
72.4
6
62.6
7
67.1
8
64.1
9
61.1
(a) Find the least-squares regression line treating the number
of absences, x, as the explanatory variable and the final grade,
y, as...
The data below represent the number of days absent, x, and the final grade, y, for...
The data below represent the number of days absent, x, and the
final grade, y, for a sample of college students at a large
university. Complete parts (a) through (e) below.
No. of absences, x
00
11
22
33
44
55
66
77
88
99
Final grade, y
88.188.1
85.285.2
82.282.2
79.879.8
76.876.8
72.372.3
62.862.8
67.267.2
64.364.3
61.461.4
(a) Find the least-squares regression line treating the number
of absences, x, as the explanatory variable and the final grade,
y, as...
The data below represent the number of days absent, x, and the final grade, y, for...
The data below represent the number of days absent, x, and the
final grade, y, for a sample of college students at a large
university. Complete parts (a) through (e) below.
0
1
2
3
4
5
6
7
8
9
89.0
86.1
83.0
80.5
77.4
73.0
63.3
67.8
64.8
61.8
(a) Find the least-squares regression line treating the number
of absences, x, as the explanatory variable and the final grade,
y, as the response variable.
(b) Interpret the slope...
The accompanying data represent the number of days absent, x, and the final exam score, y,...
The accompanying
data represent the number of days absent, x, and the final exam
score, y, for a sample of college students in a general education
course at a large state university. Complete parts (a) through (e)
below.
Click
the icon to view the absence count and final exam score
data.
Absences and Final
Exam Scores
No. of
absences, x
0
1
2
3
4
5
6
7
8
9
Final
exam
score,
y
88.3
87.3
84.2
80.9
77.6
73.8...
The variable Hours Studied represents the number of hours a student studied for their final exam...
The variable Hours Studied represents the number of hours a
student studied for their final exam and the variable Final Exam
Grade represents the final exam score the student received on their
final exam (out of 100 points).An introduction,
explanation/interpretation of your analysis, and a conclusion.
Hours studied- 1, 0, 7, 9, 9, 5, 4, 2, 11, 7, 13, 3, 3, 1, 9, 7,
5, 0, 2, 8
Final Exam grade 70, 54, 81, 92, 90, 78, 75, 68, 98,...
The accompanying data show the number of people working and the sales for a small bookstore....
The accompanying data show the number of people working and the
sales for a small bookstore. The regression line is given below.
The bookstore decides to have a gala event in an attempt to drum up
business. They hire 103 employees for the day and bring in a total
of $ 41,000.
Sales = 7.873 + 0.946(Number of Salespeople Working)
Number of Salespeople Working // Sales
2 // 9
3 // 12
7 // 14
9 // 14
10 //...
The accompanying data are x = advertising share and y = market share for a particular...
The accompanying data are x = advertising share and y = market
share for a particular brand of cigarettes during 10 randomly
selected years. x 0.101 0.073 0.072 0.077 0.086 0.047 0.060 0.050
0.070 0.052 y 0.138 0.126 0.120 0.086 0.079 0.076 0.065 0.059 0.051
0.039
(a) Calculate the equation of the estimated regression line.
(Round your answers to six decimal places.) Obtain the predicted
market share when the advertising share is 0.09. (Round your answer
to five decimal places.)...
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