What is the relationship between the amount of time statistics students study per week and their final exam scores? The results of the survey are shown below. Time Score 14 59 93 d. 2 a. Find the correlation coefficient: r = b. The null and alternative hypotheses for correlation are: Ho: 20 H₁: 200 = 4 46 0 10 8 11 6 37 91 64 78 70 The p-value is: (Round to four decimal places) c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. M Round to 2 decimal places. O There is statistically insignificant evidence to conclude that a student who spends more time studying will score higher on the final exam than a student who spends less time studying. O There is statistically significant evidence to conclude that there is a correlation between the time spent studying and the score on the final exam. Thus, the regression line is useful. O There is statistically significant evidence to conclude that a student who spends more time studying will score higher on the final exam than a student who spends less time studying. O There is statistically insignificant evidence to conclude that there is a correlation between the time spent studying and the score on the final exam. Thus, the use of the regression line is not appropriate. (Round to two decimal places) e. Interpret ²: O Given any group that spends a fixed amount of time studying per week, 80% of all of those students will receive the predicted score on the final exam. O 80% of all students will receive the average score on the final exam. O There is a 80% chance that the regression line will be a good predictor for the final exam score based on the time spent studying. + O There is a large variation in the final exam scores that students receive, but if you only look at students who spend a fixed amount of time studying per week, this variation on average is reduced by 80%. f. The equation of the linear regression line is: ŷ= (Please show your answers to two decimal places) g. Use the model to predict the final exam score for a student who spends 10 hours per week studying. Final exam score = (Please round your answer to the nearest whole number.) h. Interpret the slope of the regression line in the context of the question: O The slope has no practical meaning since you cannot predict what any individual student will score on the final. O As x goes up, y goes up.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
What is the relationship between the amount of time statistics students study per week and their final exam
scores? The results of the survey are shown below.
Time
Score
9 14
59 93
4 0
46 37
10 8 11 6
91
64 78 70
a. Find the correlation coefficient: r =
b. The null and alternative hypotheses for correlation are:
Ho=0
H₁: ? 0
The p-value is:
(Round to four decimal places)
c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of
the study.
There is statistically insignificant evidence to conclude that a student who spends more time
studying will score higher on the final exam than a student who spends less time studying.
Round to 2 decimal places.
O There is statistically significant evidence to conclude that there is a correlation between the
time spent studying and the score on the final exam. Thus, the regression line useful.
d. ²
e. Interpret 7²:
There is statistically significant evidence to conclude that a student who spends more time
studying will score higher on the final exam than a student who spends less time studying.
There is statistically insignificant evidence to conclude that there is a correlation between the
time spent studying and the score on the final exam. Thus, the use of the regression line is not
appropriate.
(Round to two decimal places)
Given any group that spends a fixed amount of time studying per week, 80% of all of those
students will receive the predicted score on the final exam.
O 80% of all students will receive the average score on the final exam.
There is a 80% chance that the regression line will be a good predictor for the final exam score
based on the time spent studying.
+
O There is a large variation in the final exam scores that students receive, but if you only look at
students who spend a fixed amount of time studying per week, this variation on average is
reduced by 80%.
f. The equation of the linear regression line is:
y =
(Please show your answers to two decimal places)
g. Use the model to predict the final exam score for a student who spends 10 hours per week studying.
Final exam score =
(Please round your answer to the nearest whole number.)
h. Interpret the slope of the regression line in the context of the question:
O The slope has no practical meaning since you cannot predict what any individual student will
score on the final.
As x goes up, y goes up.
For every additional hour per wee
e 4 10
Transcribed Image Text:What is the relationship between the amount of time statistics students study per week and their final exam scores? The results of the survey are shown below. Time Score 9 14 59 93 4 0 46 37 10 8 11 6 91 64 78 70 a. Find the correlation coefficient: r = b. The null and alternative hypotheses for correlation are: Ho=0 H₁: ? 0 The p-value is: (Round to four decimal places) c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically insignificant evidence to conclude that a student who spends more time studying will score higher on the final exam than a student who spends less time studying. Round to 2 decimal places. O There is statistically significant evidence to conclude that there is a correlation between the time spent studying and the score on the final exam. Thus, the regression line useful. d. ² e. Interpret 7²: There is statistically significant evidence to conclude that a student who spends more time studying will score higher on the final exam than a student who spends less time studying. There is statistically insignificant evidence to conclude that there is a correlation between the time spent studying and the score on the final exam. Thus, the use of the regression line is not appropriate. (Round to two decimal places) Given any group that spends a fixed amount of time studying per week, 80% of all of those students will receive the predicted score on the final exam. O 80% of all students will receive the average score on the final exam. There is a 80% chance that the regression line will be a good predictor for the final exam score based on the time spent studying. + O There is a large variation in the final exam scores that students receive, but if you only look at students who spend a fixed amount of time studying per week, this variation on average is reduced by 80%. f. The equation of the linear regression line is: y = (Please show your answers to two decimal places) g. Use the model to predict the final exam score for a student who spends 10 hours per week studying. Final exam score = (Please round your answer to the nearest whole number.) h. Interpret the slope of the regression line in the context of the question: O The slope has no practical meaning since you cannot predict what any individual student will score on the final. As x goes up, y goes up. For every additional hour per wee e 4 10
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 5 steps with 11 images

Blurred answer
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman