Question
In: Statistics and Probability
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.)
Solutions
Expert Solution
 |
 |
 |
 |
 |
| 4 | 75 | 16 | 5625 | 300 |
| 7 | 75 | 49 | 5625 | 525 |
| 1 | 65 | 1 | 4225 | 65 |
| 6 | 95 | 36 | 9025 | 570 |
| 4 | 60 | 16 | 3600 | 240 |
 |
 |
 |
 |
 |
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orchestra answered 2 years agoRelated Solutions
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 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,...
On the first statistics exam, the coefficient of determination between the hours studied and the grade...
On the first statistics exam, the coefficient of determination
between the hours studied and the grade earned was 85%. The
standard error of estimate was 12. There were 16 students in the
class. Develop an ANOVA table for the regression analysis of hours
studied as a predictor of the grade earned on the first statistics
exam.
source
DF
SS
MS
Regression
Error
Total
hours studied X^2 score on quiz Y^2 XY 1 1 3 9 3 2 4 5...
hours studied
X^2
score on quiz
Y^2
XY
1
1
3
9
3
2
4
5
25
10
3
9
7
49
21
5
25
9
81
45
sigmaX=11 sigmaX^2=39 sigmaY=24 sigmaY^2=164
sigmaXY=79
part a:
1.what is the predictor variable?
2. what is the criterion variable?
compute the Pearson correlation.
3. what is the covariance.
4 what is the standard deviation of the predictor variable.
5 what is the standard deviation of the criterion variable.
6 what is the...
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 relationship between number of beers consumed (x) and blood alcohol content (y) was studied in...
The relationship between number of beers consumed (x) and blood alcohol content (y) was studied in 16 male college students by using least square:s regression. The following regression equation was obtained from this study: y-hat=-0.01270+.0180x The above equation implies that: each beer consumed increases blood alcohol by.0127 on average it takes 1.8 beers to increase blood alcohol content by .01 After consuming 1 beer, blood alcohol equals .0180. each beer consumed increases blood alcohol by 0.018
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