A sample of college students is surveyed in order to learn more about how GPA is associated with the number of hours spent studying per week. When GPA is correlated with number of hours spent studying per week, it is found that r = 0.50. What is a correct interpretation of this correlation? 1. On average, a 30% increase in number of hours spent studying per week results in a 15% increase in GPA. 2. Fifty percent of a student’s GPA can be explained by the number of hours spent studying per week. 3. The average college student spends half of their time studying. 4. Higher GPAs tend to be associated with a larger number of hours spent studying per week. 5. There is no relationship between GPA and number of hours spent studying per week
A sample of college students is surveyed in order to learn more about how GPA is associated with the number of hours spent studying per week. When GPA is correlated with number of hours spent studying per week, it is found that r = 0.50. What is a correct interpretation of this correlation? 1. On average, a 30% increase in number of hours spent studying per week results in a 15% increase in GPA. 2. Fifty percent of a student’s GPA can be explained by the number of hours spent studying per week. 3. The average college student spends half of their time studying. 4. Higher GPAs tend to be associated with a larger number of hours spent studying per week. 5. There is no relationship between GPA and number of hours spent studying per week
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 sample of college students is surveyed in order to learn more about how GPA is associated with the number of hours spent studying per week. When GPA is correlated with number of hours spent studying per week, it is found that r = 0.50. What is a correct interpretation of this correlation ?
1. On average, a 30% increase in number of hours spent studying per week results in a 15% increase in GPA.
2. Fifty percent of a student’s GPA can be explained by the number of hours spent studying per week.
3. The average college student spends half of their time studying.
4. Higher GPAs tend to be associated with a larger number of hours spent studying per week.
5. There is no relationship between GPA and number of hours spent studying per week
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