2. The instructor of a mathematics class collected data to see whether there is a correlation between the number of absences (X) and the student's score on the final exam (Y). The number of absences and score on the final exam were recorded. The following regression equation was obtained: Final score = 92.5317 – 3.7611 (Absences) a) (5 points) What would be the predicted final exam score for a student that had 10 absences? b) (5 points) The student from part (a) actually scored a 60 on the final exam. What is the residual for this student? Show all work.

MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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2. The instructor of a mathematics class collected data to see whether there is a correlation
between the number of absences (X) and the student's score on the final exam (Y). The
number of absences and score on the final exam were recorded. The following regression
equation was obtained: Final score = 92.5317 – 3.7611 (Absences)
a) (5 points) What would be the predicted final exam score for a student that had 10
absences?
b) (5 points) The student from part (a) actually scored a 60 on the final exam. What is the
residual for this student? Show all work.
Transcribed Image Text:2. The instructor of a mathematics class collected data to see whether there is a correlation between the number of absences (X) and the student's score on the final exam (Y). The number of absences and score on the final exam were recorded. The following regression equation was obtained: Final score = 92.5317 – 3.7611 (Absences) a) (5 points) What would be the predicted final exam score for a student that had 10 absences? b) (5 points) The student from part (a) actually scored a 60 on the final exam. What is the residual for this student? Show all work.
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