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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. Lovers 7 2 GPA 2.5 2.7 28 7 8 3.6 2.1 2.7 3.6 2.1 8 6 2.5 2.9 Round to 2 decimal places. Find the correlation coefficient: r = The null and alternative hypotheses for correlation are: Ho: ? = 0 H₁: ? 0 The p-value is: (Round to four decimal places) Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. O 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 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. 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. 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. (Round to two decimal places)

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. Lovers 7 2 GPA 2.5 2.7 28 7 8 3.6 2.1 2.7 3.6 2.1 8 6 2.5 2.9 Round to 2 decimal places. Find the correlation coefficient: r = The null and alternative hypotheses for correlation are: Ho: ? = 0 H₁: ? 0 The p-value is: (Round to four decimal places) Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. O 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 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. 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. 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. (Round to two decimal places)

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
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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. Lovers 7 2 GPA 2.5 2.7 3.6 2 8 7 1 2.1 2.7 3.6 8 2.1 8 6 2.5 2.9 Round to 2 decimal places. Find the correlation coefficient: r = The null and alternative hypotheses for correlation are: Ho: ? = 0 H₁: ? #0 The p-value is: (Round to four decimal places) Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. O 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. 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 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. 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. 7² = (Round to two decimal places)
Transcribed Image Text: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. Lovers 7 2 GPA 2.5 2.7 3.6 2 8 7 1 2.1 2.7 3.6 8 2.1 8 6 2.5 2.9 Round to 2 decimal places. Find the correlation coefficient: r = The null and alternative hypotheses for correlation are: Ho: ? = 0 H₁: ? #0 The p-value is: (Round to four decimal places) Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. O 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. 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 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. 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. 7² = (Round to two decimal places)
(Round to two decimal places) Interpret 7¹² : 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. O 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 71% of all students will have the average GPA. The equation of the linear regression line is: ŷ- = * (Please show your answers to two decimal places) Use the model to predict the GPA of a college student who as had 4 lovers. GPA = (Please round your answer to one decimal place.) Interpret the slope of the regression line in the context of the question: As x goes up, y goes down. For every additional lover students have, their GPA tends to decrease by 0.16. The slope has no practical meaning since a GPA cannot be negative. Interpret the y-intercept in the context of the question: O The y-intercept has no practical meaning for this study. O The average GPA for all students is predicted to be 3.61.
Transcribed Image Text:(Round to two decimal places) Interpret 7¹² : 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. O 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 71% of all students will have the average GPA. The equation of the linear regression line is: ŷ- = * (Please show your answers to two decimal places) Use the model to predict the GPA of a college student who as had 4 lovers. GPA = (Please round your answer to one decimal place.) Interpret the slope of the regression line in the context of the question: As x goes up, y goes down. For every additional lover students have, their GPA tends to decrease by 0.16. The slope has no practical meaning since a GPA cannot be negative. Interpret the y-intercept in the context of the question: O The y-intercept has no practical meaning for this study. O The average GPA for all students is predicted to be 3.61.
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