The data was obtained in a study on the number of absences in the day and the final gra of seven randomly selected students from a statistics class. The data and output of IBM-SP software are shown below. Student A Number of absences 6 Final grade 82

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QUESTION 3
The data was obtained in a study on the number of absences in the day and the final grades
of seven randomly selected students from a statistics class. The data and output of IBM-SPSS
software are shown below.
Model
1
Student
A
B
C
D
E
F
G
Absences
Grade
Number of absences
6
2
15
9
12
5
8
(Constant)
Absences
Pearson Correlation
Sig. (2-tailed)
N
Pearson Correlation
Sig. (2-tailed)
N
**. Correlation is significant at the 0.01 level (2-tailed).
Unstandardized Coefficients
B
102.493
X
Absences
Std. Error
5.138
565
Final grade
82
86
43
74
58
90
78
1
7
-.944**
.001
7
Grade
Standardized
Coefficients
Beta
-.944
-.944**
.001
7
1
t
7
19.948
-6.411
Sig.
.000
.001
Answer all questions below based on the data and output of the IBM-SPSS software above.
Transcribed Image Text:QUESTION 3 The data was obtained in a study on the number of absences in the day and the final grades of seven randomly selected students from a statistics class. The data and output of IBM-SPSS software are shown below. Model 1 Student A B C D E F G Absences Grade Number of absences 6 2 15 9 12 5 8 (Constant) Absences Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N **. Correlation is significant at the 0.01 level (2-tailed). Unstandardized Coefficients B 102.493 X Absences Std. Error 5.138 565 Final grade 82 86 43 74 58 90 78 1 7 -.944** .001 7 Grade Standardized Coefficients Beta -.944 -.944** .001 7 1 t 7 19.948 -6.411 Sig. .000 .001 Answer all questions below based on the data and output of the IBM-SPSS software above.
d) Find the coefficient of determination and explain the value obtained.
e) Write down the linear regression model for this study.
f) Estimate the final grade if the number of absences is two weeks.
Transcribed Image Text:d) Find the coefficient of determination and explain the value obtained. e) Write down the linear regression model for this study. f) Estimate the final grade if the number of absences is two weeks.
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