A statistics professor wants to use the number of hours a student studies for a statistic final exam (x) to predict the final exam score (y). A regression model was fit based on data collected for a class during the previous semester, with the following results: y =35.0 + 3x Which of the following is the correct interpretation of the regression coefficient (slope)? Select the correct response: When the student does not study O for the final exam, the mean final exam score is 35.0.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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A statistics professor wants to use the
number of hours a student studies for a
statistic final exam (x) to predict the final
exam score (y). A regression model was fit
based on data collected for a class during
the previous semester, with the following
results: y =35.0 + 3x
Which of the following is the correct
interpretation of the regression coefficient
(slope)?
Select the correct response:
When the student does not study
for the final exam, the mean final
exam score is 35.0.
None of the above are an
interpretation of the slope
For each increase of one hour in
studying time, the mean change in
the final exam score is predicted
to be 35.0
For each increase of one hour in
studying time, the mean change in
the final exam score is predicted
to be 3.0.
Transcribed Image Text:A statistics professor wants to use the number of hours a student studies for a statistic final exam (x) to predict the final exam score (y). A regression model was fit based on data collected for a class during the previous semester, with the following results: y =35.0 + 3x Which of the following is the correct interpretation of the regression coefficient (slope)? Select the correct response: When the student does not study for the final exam, the mean final exam score is 35.0. None of the above are an interpretation of the slope For each increase of one hour in studying time, the mean change in the final exam score is predicted to be 35.0 For each increase of one hour in studying time, the mean change in the final exam score is predicted to be 3.0.
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