Transcript Factors Affecting GPA

FACTORS AFFECTING GPA
Camille Legaspi
Raphielle Perez
Allison Remigio
July Sengsourya
SURVEY
Demographics
Age, Gender, Marital Status,
Children, Living Situation, &
Commute
School
GPA, Units, Study Time,
Motivation, Importance of High
GPA, & Post-Graduate Plans
Outside School
Extracurricular Activities &
Work
DEMOGRAPHICS
Marital Status
Children
100
100
80
80
60
60
40
40
20
20
0
0
Single
Married
Yes
No
DEMOGRAPHICS
Age
Gender
60
140
120
50
100
40
80
30
60
20
40
10
20
0
18>23
23>28
28>33
33>38
38>43
0
Male
Female
DEMOGRAPHICS
Living Situation
DEMOGRAPHICS
Commute
Commute Time
50
45
40
Frequency
35
30
25
20
15
10
5
0
0 > 16
16 > 32
32 > 48
Minutes
48 > 64
64 > 80
SCHOOL
GPA
Frequency
GPA
80
60
40
20
0
No
Answer
0>.8
.8>1.6 1.6>2.4 2.4>3.2 3.2>4.0
Ranges in GPA
SCHOOL
Number of Units
70
60
50
40
30
20
10
0
4>8
8 > 12
12 > 16
16 > 20
20 > 24
SCHOOL
Hours Spent Studying
45
40
35
30
25
20
15
10
5
0
no response
1>9
9 > 17
17 > 25
25 > 33
33 > 41
SCHOOL
Motivation
SCHOOL
Importance of High GPA
40
35
30
25
20
15
10
5
0
1
Not Important
2
3
4
5
Very Important
SCHOOL
Post-Graduate Plans
OUTSIDE SCHOOL
Participation in Extracurricular Activities
OUTSIDE SCHOOL
Hours Spent on Extracurricular Activities
Hours of Activity
100
Frequency
80
60
40
20
0
0>8
8>16
16>24
24>32
Range in Number of Hours
32>40
OUTSIDE SCHOOL
Employment
90
80
70
60
50
40
30
20
10
0
yes
no
OUTSIDE SCHOOL
Hours Worked in a Week
Hours Worked
40
35
30
Frequency
25
20
15
10
5
0
no answer
0 > 12
12 > 24
24 > 36
Hours
36 > 48
48 > 60
CORRELATION
GPA vs. Hours Spent Studying
45
40
35
30
25
20
y = 0.3318x + 11.623
15
10
5
0
0.00
1.00
2.00
3.00
4.00
5.00
REGRESSION
GPA vs. Hours Spent Studying
SU M M A RY O U T P U T
Regres s ion Statis tics
M ultiple R
0 .0 1 9 0 5 6 8 2
R Square
0 .0 0 0 3 6 3 1 6
A djus ted R Square
- 0 .0 1 0 2 7 1 2 7
Standard E rror 7 .6 4 0 0 0 2 7
O bs ervations
96
A NO V A
df
Regres s ion
Res idual
T otal
I nterc ept
X V ariable 1
1
94
95
SS
MS
F
Significance F
1 .9 9 3 3 0 4 7 3 1 .9 9 3 3 0 4 7 3 0 .0 3 4 1 4 9 6 8 0 .8 5 3 7 8 6 9 1
5 4 8 6 .7 4 6 2 8 5 8 .3 6 9 6 4 1 3
5 4 8 8 .7 3 9 5 8
Coefficients Standard Error
t Stat
P-value
Lower 95%
Upper 95% Lower 95.0% Upper 95.0%
1 1 .6 2 2 7 5 1 7 5 .4 2 3 5 0 7 3 8 2 .1 4 3 0 3 2 3 4 0 .0 3 4 6 9 2 8 2 0 .8 5 4 2 5 0 9 4 2 2 .3 9 1 2 5 2 5 0 .8 5 4 2 5 0 9 4 2 2 .3 9 1 2 5 2 5
0 .3 3 1 7 5 0 9 3 1 .7 9 5 2 2 4 6 9 0 .1 8 4 7 9 6 3 3 0 .8 5 3 7 8 6 9 1- 3 .2 3 2 7 0 9 6 93 .8 9 6 2 1 1 5 5- 3 .2 3 2 7 0 9 6 93 .8 9 6 2 1 1 5 5
CORRELATION
GPA vs. Commute
90
80
70
60
50
y = 0.0263x + 23.637
40
30
20
10
0
0.00
1.00
2.00
3.00
4.00
5.00
REGRESSION
GPA vs. Commute
SU M M A RY O U T P U T
Regres s ion Statis tics
0 .0 0 0 8 9 0 3 9
M ultiple R
7 .9 2 7 9 E -0 7
R Square
-0 .0 1 3 8 8 8 0 9
A djus ted R Square
Standard E rror1 4 .2 4 5 3 8 3 7
74
O bs ervations
A NO V A
df
Regres s ion
Res idual
T otal
Significance F
F
MS
SS
1 0 .0 1 1 5 8 3 4 8 0 .0 1 1 5 8 3 4 8 5 .7 0 8 1 E -0 5 0 .9 9 3 9 9 2 7 8
7 2 1 4 6 1 1 .0 2 9 2 0 2 .9 3 0 9 5 8
7 3 1 4 6 1 1 .0 4 0 5
Lower 95% Upper 95% Lower 95.0% Upper 95.0%
P-value
t Stat
Coefficients Standard Error
2 3 .6 3 7 4 0 3 1 0 .5 6 2 2 9 0 3 2 .2 3 7 9 0 5 0 60 .0 2 8 3 2 1 3 7 2 .5 8 1 8 6 2 3 2 4 4 .6 9 2 9 4 3 7 2 .5 8 1 8 6 2 3 24 4 .6 9 2 9 4 3 7
I nterc ept
X V ariable 1 0 .0 2 6 3 4 2 2 73 .4 8 6 6 4 5 5 5 0 .0 0 7 5 5 5 1 90 .9 9 3 9 9 2 7 8-6 .9 2 4 1 5 8 5 16 .9 7 6 8 4 3 0 4-6 .9 2 4 1 5 8 5 16 .9 7 6 8 4 3 0 4
CORRELATION
GPA vs. Work Hours
GPA vs Work Hours
70
60
50
y = -1.8322x + 23.814
40
30
20
10
0
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
REGRESSION
GPA vs. Hours Worked
SUMMARY OUTPUT
Regression Statistics
Multiple R
0.088790471
R Square
0.007883748
Adjusted R Square
-0.002239887
Standard Error
13.79177227
Observ ations
100
ANOVA
df
Regression
Residual
Total
Intercept
X Variable 1
SS
148.1277363
18640.87226
18789
MS
F
148.1277363 0.778747
190.2129823
Significance F
0.379684197
Coefficients
Standard Error
23.81368975
6.177336641
-1.832243631
2.076276101
t Stat
P-value
3.855009227 0.000207
-0.882466272 0.379684
Lower 95%
11.55496646
-5.952545902
1
98
99
Upper 95%
Lower 95.0% Upper 95.0%
36.07241304
11.55496646 36.07241304
2.28805864 -5.952545902
2.28805864