A prominent university conducted a survey on the effect of
part-time work on student grade point average (GPA). Let x
be the hours worked per week and y the GPA for the year. A
summary of the results is below. What can the university conclude
with α = 0.05?
n = 29
| y | |
![]() |
|
= 69
| x | |
![]() |
|
= 517
| y2 | |
![]() |
|
= 189
,
| x2 | |
![]() |
|
= 11703
| yx | |
![]() |
|
= 1392
,
|
|||||
![]() |
|||||
= 14
a) Compute the quantities below.
0
= ____,
=
_____
What GPA is predicted when a students works 6 hours a week?
b) Compute the appropriate test statistic(s) for
H1: β > 0.
Critical value = _____ ; Test statistic = _____
Decision: ---Select--- (Reject H0 or Fail to reject
H0)
c) Compute the corresponding effect size(s) and
indicate magnitude(s).
If not appropriate, input and/or select "na" below.
Effect size =_____ ; ---Select--- (na, trivial effect,
small effect, medium effect, large effect)
d) Make an interpretation based on the
results.
-More hours of part-time work significantly predicts a higher GPA.
or
-More hours of part-time work significantly predicts a lower GPA.
or
-Part-time work does not significantly predict GPA.






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