Write out the regression equation.

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.4: Collecting Data
Problem 2E
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A business statistics professor would like to develop a regression model to predict the exam scores for students based on their current GPAs, the number of hours they studied for the exam, and the number of times they were absent during the semester.  The data for these variables are attached.

a) Run the multiple regression in Excel.  Hint: set x1 = GPA, x2 = Hours, X3 = Absences.     

b) Find the R2 and explain its meaning.   

c) Explain the outcome of the F test.  What does it mean?   

d) Explain the outcomes of the t-tests for the slope coefficients.   

e) Write out the regression equation.  

f)  Explain the meanings of the slope coefficients.  

 

I did a and b. Please help me with the rest.

Score
GPA
Hours
Absences
68
2.53
3.00
69
2.25
4.00
3
70
2.60
2.50
1
71
3.10
0.50
74
3.08
6.00
4
77
2.75
3.50
6
77
3.35
1.50
78
2.98
3.00
3
78
2.99
2.00
3
79
2.84
2.50
2
79
2.80
4.50
82
3.44
7.00
1
83
3.25
3.00
1
84
3.15
3.00
4
84
3.18
5.50
84
2.95
2.00
84
2.71
4.00
1
85
3.20
4.50
85
3.75
2.00
85
3.57
3.50
2
86
2.92
6.00
1
86
3.04
6.50
1
86
3.16
5.00
87
3.89
7.50
4
87
3.54
4.00
89
3.33
6.50
1
89
3.66
5.00
90
2.87
3.50
90
3.40
6.00
1
91
3.22
4.50
91
3.79
7.00
92
3.93
6.00
2
92
4.00
5.00
92
3.60
6.50
1
93
2.98
4.00
2
94
3.26
6.50
98
2.88
3.50
99
3.73
5.00
1
100
3.48
6.50
1
100
3.00
7.00
Transcribed Image Text:Score GPA Hours Absences 68 2.53 3.00 69 2.25 4.00 3 70 2.60 2.50 1 71 3.10 0.50 74 3.08 6.00 4 77 2.75 3.50 6 77 3.35 1.50 78 2.98 3.00 3 78 2.99 2.00 3 79 2.84 2.50 2 79 2.80 4.50 82 3.44 7.00 1 83 3.25 3.00 1 84 3.15 3.00 4 84 3.18 5.50 84 2.95 2.00 84 2.71 4.00 1 85 3.20 4.50 85 3.75 2.00 85 3.57 3.50 2 86 2.92 6.00 1 86 3.04 6.50 1 86 3.16 5.00 87 3.89 7.50 4 87 3.54 4.00 89 3.33 6.50 1 89 3.66 5.00 90 2.87 3.50 90 3.40 6.00 1 91 3.22 4.50 91 3.79 7.00 92 3.93 6.00 2 92 4.00 5.00 92 3.60 6.50 1 93 2.98 4.00 2 94 3.26 6.50 98 2.88 3.50 99 3.73 5.00 1 100 3.48 6.50 1 100 3.00 7.00
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