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Question
A study was done to determine if the number of days a student is absent affects their final grade. The following data was obtained:
Number of Days Absent 10 12&nbs p; 2 0 8 5 2 4 6 9
Final Grade 70 65 &nbs p; 96 94 75 82 88 87 82 73
The r square value of the linear regression analysis = 0.954
The ANOVA Table is:
df SS MS F
Regression 1 913.8 913.8 167.0
Residual 8 43.8 5.5
Total 9 957.6
The Linear Coefficients are:
Coefficients
Intercept 96.1
X Variable 1 -2.6
a) Do the results indicate that there is a correlation between days absent and final grade? (and tell me how you determined your answer)
b) Write the linear regression equation.
c) Use this equation to predict the final grade is a student was absent 7 days.
d) Use this equation to predict the final grade is a student was absent 1 day.
Submitted: 452 days and 6 hours ago.
Category: Math
Value: $9
Status: CLOSED
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Optional Information
Level: Freshman; Subject: Probabilities and Statistics
Accepted Answer
Hi again,
a) p-value for F=160 is 0.00000. We reject the null hypothesis since the p-value is small. We can conclude that there is a correlation between days absent and final grade.
b)
Final grade = 96.1 - 2.6(Absent)
c) Final grade = 96.1 - 2.6(7) =
77.9
d) Final grade = 96.1 - 2.6(1) =
93.5
Expert:
abozer
Pos. Feedback:
99.8 %
Accepts:
3266
Answered:
12/24/2008
Math Answer Team
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