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 Student A B C D E F G Absences Grade (Constant) Absences Number of absences 6 2 15 9 12 5 Pearson Correlation Sig. (2-tailed) N Pearson Correlation Sig. (2-tailed) N **. Correlation is significant at the 0.01 level (2-tailed). 8 c) Compute the value of X. B 102.493 X Absences Std. Error -944 5.138 565 Final grade 82 86 43 74 58 90 78 1 7 Unstandardized Coefficients Standardized Coefficients Beta .001 7 Grade -944" 001 7 Sig. 19.948 .000 -944 6.411 .001 Answer all questions below based on the data and output of the IBM-SPSS software above. a) State the predictor and response variable for this study. b) Validate that the Pearson correlation coefficient value is -0.944. Hence, comment on the value.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Chapter4: Equations Of Linear Functions
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Solve the problem using formula, not excel or spss
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
Student
A
B
C
D
E
F
G
Absences
Grade
(Constant)
Absences
Number of absences
6
2
15
Pearson Correlation
Sig. (2-tailed)
N
9
12
5
8
Pearson Correlation
Sig. (2-tailed)
N
**. Correlation is significant at the 0.01 level (2-tailed).
c) Compute the value of X.
B
102.493
X
Absences
Std. Error
5.138
565
Final grade
82
86
43
74
58
90
78
Unstandardized Coefficients Standardized
Coefficients
Betal
1
7
-944"
.001
7
e) Write down the linear regression model for this study.
Grade
Answer all questions below based on the data and output of the IBM-SPSS software above.
a) State the predictor and response variable for this study.
-944"
.001
7
1
19.948
.000
-944 -6.411 .001
b) Validate that the Pearson correlation coefficient value is -0.944. Hence, comment on the
value.
d) Find the coefficient of determination and explain the value obtained.
t Sig.
f) Estimate the final grade if the number of absences is two weeks.
Transcribed Image Text: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 Student A B C D E F G Absences Grade (Constant) Absences Number of absences 6 2 15 Pearson Correlation Sig. (2-tailed) N 9 12 5 8 Pearson Correlation Sig. (2-tailed) N **. Correlation is significant at the 0.01 level (2-tailed). c) Compute the value of X. B 102.493 X Absences Std. Error 5.138 565 Final grade 82 86 43 74 58 90 78 Unstandardized Coefficients Standardized Coefficients Betal 1 7 -944" .001 7 e) Write down the linear regression model for this study. Grade Answer all questions below based on the data and output of the IBM-SPSS software above. a) State the predictor and response variable for this study. -944" .001 7 1 19.948 .000 -944 -6.411 .001 b) Validate that the Pearson correlation coefficient value is -0.944. Hence, comment on the value. d) Find the coefficient of determination and explain the value obtained. t Sig. f) Estimate the final grade if the number of absences is two weeks.
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