A statistics professor wants to use the number of hours a student studies for a statistics final exam to predict the final exam score A regression model was fit based on data collected from a class during the previous semester, with the following results: Y = 35.0 + 3X (A) What is the interpretation of the Y intercept, bo and the slope, b,? Answer: The Y intercept bɔ = indicates that when the student does not study for the final exam, the predicted final exam score is The slope b, = indicates that for each increase of one hour in studying time, the predicted change in the final exam score is In other words, the final exam score is predicted to increase by a mean of 3 points for each onehour increase in studying time. (B) Use the prediction line to predict the final exam score of a student that use 15 hours to study for the final exam. Answer: The predicted score is points

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The Y intercept b0 =___________ indicates that when the student does not study for the final exam, the predicted final exam score is__________.

 

 

A statistics professor wants to use the number of hours a student studies for a statistics final exam to predict the final exam score A
regression model was fit based on data collected from a class during the previous semester, with the following results:
Y = 35.0 + 3X
(A) What is the interpretation of the Y intercept, bo and the slope, b,?
Answer:
The Y intercept bọ =
indicates that when the student does not study for the final exam, the predicted final exam score is
The slope b, =
indicates that for each increase of one hour in studying time, the predicted change in the final exam
score is
In other words, the final exam score is predicted to increase by a mean of 3 points for each onehour increase
in studying time.
(B) Use the prediction line to predict the final exam score of a student that use 15 hours to study for the final exam.
Answer: The predicted score is
points
Transcribed Image Text:A statistics professor wants to use the number of hours a student studies for a statistics final exam to predict the final exam score A regression model was fit based on data collected from a class during the previous semester, with the following results: Y = 35.0 + 3X (A) What is the interpretation of the Y intercept, bo and the slope, b,? Answer: The Y intercept bọ = indicates that when the student does not study for the final exam, the predicted final exam score is The slope b, = indicates that for each increase of one hour in studying time, the predicted change in the final exam score is In other words, the final exam score is predicted to increase by a mean of 3 points for each onehour increase in studying time. (B) Use the prediction line to predict the final exam score of a student that use 15 hours to study for the final exam. Answer: The predicted score is points
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