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 What is the interpretation of the y-intercept? Select the correct response: The y-intercept indicates that when the student study for the final exam, the mean final exam

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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
What is the interpretation of the y-intercept?
Select the correct response:
The y-intercept indicates that
when the student study for the
final exam, the mean final exam
score is high
The y-intercept indicates that
when the student does not study
for the final exam, the mean final
exam score is 35.0
The y-intercept indicates that for
each increase of one hour in
studying time, the mean change in
the final exam score is predicted
to be 3.0
The y-intercept indicates that for
each increase of one hour in
studying time, the mean change in
the final exam score is predicted
to be 38.
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 What is the interpretation of the y-intercept? Select the correct response: The y-intercept indicates that when the student study for the final exam, the mean final exam score is high The y-intercept indicates that when the student does not study for the final exam, the mean final exam score is 35.0 The y-intercept indicates that for each increase of one hour in studying time, the mean change in the final exam score is predicted to be 3.0 The y-intercept indicates that for each increase of one hour in studying time, the mean change in the final exam score is predicted to be 38.
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