The University Secretary wants to determine how University
grade point average, GPA (highest being 4.0) of a sample of
students from the University depends on a student’s high school GPA
(HS), age of a student (A), achievement test score (AS), average
number of lectures skipped each week (S), gender of a student
(where M=1 if a student is male or 0 otherwise), computer or PC
ownership of a student (where PC=1 if a student owns a computer or
0 otherwise), the means of transport to school (drive, bicycle or
walk; where D=1 if a student drives to campus or 0 otherwise, B=1
if a student bicycles to campus or 0 otherwise), and finally, the
subject major of the student (finance, human resource, marketing
and accounting; where F=1 if a student majors in finance or 0
otherwise, HR=1 if a student majors in human resource or 0
otherwise, MR=1 if a student majors in marketing or 0 otherwise).
Use the correlation matrix and dummy regression output to answer
the questions.
GPA
HS
A
AS
S
M
PC
D
B
F
HR
MR
GPA
1.00
HS
0.41
1.00
A
-0.02
-0.26
1.00
AS
0.21
0.35
-0.08
1.00
S
-0.26
-0.09
-0.08
0.12
1.00
M
-0.08
-0.21
0.04
0.18
0.20
1.00
PC
0.22
0.04
-0.09
0.04
-0.21
-0.07
1.00
D
-0.11
-0.19
0.27
-0.20
0.26
-0.08
0.02
1.00
B
0.08
0.14
-0.05
0.16
-0.13
0.13
-0.10
-0.38
1.00
F
0.08
0.12
-0.22
0.18
0.06
0.04
0.08
-0.08
-0.11
1.00
HR
0.08
0.17
-0.49
0.08
0.06
0.05
-0.04
-0.11
0.07
-0.12
1.00
MR
-0.10
-0.19
0.37
-0.11
-0.05
0.02
0.05
0.08
0.01
-0.15
-0.79
1.00
a) Which 2 pairs of variables are most correlated with the
regressand?
b) Which 3 pairs of variables are mostly multicollinear?
c) Identify 3 pairs of variables that are most
correlated.
The estimated equation by OLS is:
Residual (df) =129, TSS=19.41, ESS=14.03.