Homework Help is Here – Start Your Trial Now!
Math
Statistics
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 GPA of a college student who as had 6 lovers. GPA = (Please round your answer to one decimal place.) h. Interpret the slope of the regression line in the context of the question: O For every additional lover students have, their GPA tends to decrease by 0.18. O As x goes up, y goes down. O The slope has no practical meaning since a GPA cannot be negative. i. Interpret the y-intercept in the context of the question: Olf a student has never had a lover, then that student's GPA will be 3.36. The average GPA for all students is predicted to be 3.36. O The best prediction for the GPA of a student who has never had a lover is 3.36. O The y-intercept has no practical meaning for this study.

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 GPA of a college student who as had 6 lovers. GPA = (Please round your answer to one decimal place.) h. Interpret the slope of the regression line in the context of the question: O For every additional lover students have, their GPA tends to decrease by 0.18. O As x goes up, y goes down. O The slope has no practical meaning since a GPA cannot be negative. i. Interpret the y-intercept in the context of the question: Olf a student has never had a lover, then that student's GPA will be 3.36. The average GPA for all students is predicted to be 3.36. O The best prediction for the GPA of a student who has never had a lover is 3.36. O The y-intercept has no practical meaning for this study.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
See similar textbooks
icon
Related questions
Question
100%
Please solve the unanswered , f-g…..thank you
Question 12 A study was done to look at the relationship between number of lovers college students have had in their lifetimes and their GPAS. The results of the survey are shown below. #3 3 Lovers 4 6 GPA 2.4 1.9 a. Find the correlation coefficient: r = -0.84 b. The null and alternative hypotheses for correlation are: Ho: pv = 0 H₁: p0 The p-value is: 0.0092 (Round to four decimal places) 80 F3 c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. 6 5 5 0 2.6 2.6 2.1 3.4 d. ² = e. Interpret 7²: > O There is statistically significant evidence to conclude that a student who has had more lovers will have a lower GPA than a student who has had fewer lovers. O There is statistically insignificant evidence to conclude that a student who has had more lovers will have a lower GPA than a student who has had fewer lovers. There is statistically significant evidence to conclude that there is a correlation between the number of lovers students have had in their lifetimes and their GPA. Thus, the regression line is useful. O There is statistically insignificant evidence to conclude that there is a correlation between the number of lovers students have had in their lifetimes and their GPA. Thus, the use of the regression line is not appropriate. -0.84 (Round to two decimal places) $ 071% of all students will have the average GPA. There is a large variation in students' GPAS, but if you only look at students who have had a fixed number of lovers, this variation on average is reduced by 71%. 4 6 2 6 2.3 2.5 3.1 O Given any group of students who have all had the same number of lovers, 71% of all of these studetns will have the predicted GPA. F4 O There is a 71% chance that the regression line will be a good predictor for GPA based on the number of lovers a student has had. do Lo Round to 2 decimal places. % 5 F5 A 6 MacBook Air F6 & 7 F7 * 8 DII F8 DD F9 F
Transcribed Image Text:Question 12 A study was done to look at the relationship between number of lovers college students have had in their lifetimes and their GPAS. The results of the survey are shown below. #3 3 Lovers 4 6 GPA 2.4 1.9 a. Find the correlation coefficient: r = -0.84 b. The null and alternative hypotheses for correlation are: Ho: pv = 0 H₁: p0 The p-value is: 0.0092 (Round to four decimal places) 80 F3 c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. 6 5 5 0 2.6 2.6 2.1 3.4 d. ² = e. Interpret 7²: > O There is statistically significant evidence to conclude that a student who has had more lovers will have a lower GPA than a student who has had fewer lovers. O There is statistically insignificant evidence to conclude that a student who has had more lovers will have a lower GPA than a student who has had fewer lovers. There is statistically significant evidence to conclude that there is a correlation between the number of lovers students have had in their lifetimes and their GPA. Thus, the regression line is useful. O There is statistically insignificant evidence to conclude that there is a correlation between the number of lovers students have had in their lifetimes and their GPA. Thus, the use of the regression line is not appropriate. -0.84 (Round to two decimal places) $ 071% of all students will have the average GPA. There is a large variation in students' GPAS, but if you only look at students who have had a fixed number of lovers, this variation on average is reduced by 71%. 4 6 2 6 2.3 2.5 3.1 O Given any group of students who have all had the same number of lovers, 71% of all of these studetns will have the predicted GPA. F4 O There is a 71% chance that the regression line will be a good predictor for GPA based on the number of lovers a student has had. do Lo Round to 2 decimal places. % 5 F5 A 6 MacBook Air F6 & 7 F7 * 8 DII F8 DD F9 F
There is statistically insignificant evidence to conclude that a student who has had more lovers will have a lower GPA than a student who has had fewer lovers. There is statistically significant evidence to conclude that there is a correlation between the number of lovers students have had in their lifetimes and their GPA. Thus, the regression line is useful. O There is statistically insignificant evidence to conclude that there is a correlation between the number of lovers students have had in their lifetimes and their GPA. Thus, the use of the regression line is not appropriate. -0.84 (Round to two decimal places) d. ². = e. Interpret ²: 071% of all students will have the average GPA. There is a large variation in students' GPAS, but if you only look at students who have had a fixed number of lovers, this variation on average is reduced by 71%. O Given any group of students who have all had the same number of lovers, 71% of all of these studetns will have the predicted GPA. O There is a 71% chance that the regression line will be a good predictor for GPA based on the number of lovers a student has had. f. The equation of the linear regression line is: y = g. Use the model to predict the GPA of a college student who as had 6 lovers. GPA = (Please round your answer to one decimal place.) (Please show your answers to two decimal places) h. Interpret the slope of the regression line in the context of the question: O For every additional lover students have, their GPA tends to decrease by 0.18. O As x goes up, y goes down. O The slope has no practical meaning since a GPA cannot be negative. i. Interpret the y-intercept in the context of the question: Olf a student has never had a lover, then that student's GPA will be 3.36. O The average GPA for all students is predicted to be 3.36. O The best prediction for the GPA of a student who O The y-intercept has no practical meaning for this study. 80 F3 000 000 F4 F5 MacBook Air F6 had a lover is 3.36. 8 F7 DII F8 DD F9 A F
Transcribed Image Text:There is statistically insignificant evidence to conclude that a student who has had more lovers will have a lower GPA than a student who has had fewer lovers. There is statistically significant evidence to conclude that there is a correlation between the number of lovers students have had in their lifetimes and their GPA. Thus, the regression line is useful. O There is statistically insignificant evidence to conclude that there is a correlation between the number of lovers students have had in their lifetimes and their GPA. Thus, the use of the regression line is not appropriate. -0.84 (Round to two decimal places) d. ². = e. Interpret ²: 071% of all students will have the average GPA. There is a large variation in students' GPAS, but if you only look at students who have had a fixed number of lovers, this variation on average is reduced by 71%. O Given any group of students who have all had the same number of lovers, 71% of all of these studetns will have the predicted GPA. O There is a 71% chance that the regression line will be a good predictor for GPA based on the number of lovers a student has had. f. The equation of the linear regression line is: y = g. Use the model to predict the GPA of a college student who as had 6 lovers. GPA = (Please round your answer to one decimal place.) (Please show your answers to two decimal places) h. Interpret the slope of the regression line in the context of the question: O For every additional lover students have, their GPA tends to decrease by 0.18. O As x goes up, y goes down. O The slope has no practical meaning since a GPA cannot be negative. i. Interpret the y-intercept in the context of the question: Olf a student has never had a lover, then that student's GPA will be 3.36. O The average GPA for all students is predicted to be 3.36. O The best prediction for the GPA of a student who O The y-intercept has no practical meaning for this study. 80 F3 000 000 F4 F5 MacBook Air F6 had a lover is 3.36. 8 F7 DII F8 DD F9 A F
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 2 steps with 2 images

SEE SOLUTIONCheck out a sample Q&A here
Blurred answer
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
SEE MORE TEXTBOOKS