In: Math
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 an α of 0.05?
n = 21
sigmay = 55
,sigma x = 520
sigmay2 = 171
, aigmax2 = 15288
sigmayx = 1275
, sigma ( y − ŷ2) = 24
a) Compute the quantities below.
Bhat0 = , Bhat =
What GPA is predicted when a students works 9 hours a week?
b) Compute the appropriate test statistic(s) for H1: β < 0.
Critical value = ; Test statistic =
Decision:
---Select---
Reject H0
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.
More hours of part-time work significantly predicts a lower GPA.
Part-time work does not significantly predict GPA.
Ʃx = 520
Ʃy = 55
Ʃxy = 1275
Ʃx² = 15288
Ʃy² = 171
Sample size, n = 21
x̅ = Ʃx/n = 520/21 = 24.7619048
y̅ = Ʃy/n = 55/21 = 2.61904762
SSxx = Ʃx² - (Ʃx)²/n = 15288 - (520)²/21 = 2411.80952
SSyy = Ʃy² - (Ʃy)²/n = 171 - (55)²/21 = 26.952381
SSxy = Ʃxy - (Ʃx)(Ʃy)/n = 1275 - (520)(55)/21 = -86.9047619
SSE = Ʃ(y-ŷ)² = 24 (given)
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a) Slope, β = SSxy/SSxx = -86.90476/2411.80952 = -0.036033 = -0.036
y-intercept, β0 = y̅ - β* x̅ = 2.61905 - (-0.03603)*24.7619 = 3.5112936 = 3.5113
Regression equation :
ŷ = 3.5113 + (-0.036) x
Predicted value of y at x = 9
ŷ = 3.5113 + (-0.036) * 9 = 3.187
b)
Null and alternative hypothesis:
Ho: β₁ = 0
Ha: β₁ < 0
α = 0.05
df = n-2 = 19
Critical value, t_c = ABS(T.INV(0.05, 19)) = -1.729
Standard error, se = √(SSE/(n-2)) = √(24/(21-2)) = 1.12390
Test statistic:
t = b/(se/√SSxx) = -1.58
Conclusion:
Fail to reject the null hypothesis.
--
c) effect size:
r² = (SSxy)²/(SSxx*SSyy) = (-86.90476)²/(2411.80952*26.95238) = 0.1162
small effect
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d) Part-time work does not significantly predict GPA.