Pregunta 3 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 bo = 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 In other words, the final exam score is predicted to increase by a mean of 3 points for each onehour increase score is 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
Pregunta 3 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 bo = 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 In other words, the final exam score is predicted to increase by a mean of 3 points for each onehour increase score is 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
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
Answer for question B)
![Pregunta 3
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 bo =
indicates that when the student does not study for the final exam, the predicted final exam score is
The slope b1
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](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fee937422-d2ce-4241-855b-95a2e8250f6a%2F50949eb3-2458-4e3c-89e9-ad50b2064e5f%2F816sdfz_processed.png&w=3840&q=75)
Transcribed Image Text:Pregunta 3
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 bo =
indicates that when the student does not study for the final exam, the predicted final exam score is
The slope b1
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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