Introduction: Students are constantly faced with multiple things that deserve individual time and attention. Of the variety of appointments and arrangements our group felt that the majority of student activity could fall under two groups: studying and extracurricular activity. With so many oppurtunities for students to spend their time our group examined the average number of hours a student studies and the average hours of student involvment with extracurricular activity in comparison with their cumlitive gpa.
Our hypothesis is that the ammount of hours studied and hours involved in extracurricular activities directly correlates with a students cumlitive gpa. Appropriately, we thought that the more involved in extracurricular activities a student was the lower their respective gpa would be. We also thought there would be a correlation with studying and overall grades.
Methods: We first had to choose out population. Since we would not be able to survey students from multiple schools we decided to limit our tests within Georgia College & State University. The population was also limited to under graduate students (freshman, sophomore, junior, senior). To obtain information we created a survey on www.surveymonkey.com. The site allowed us to anonomyously track which students took the test as well as view individual results. Our survey can be tracked to the link below:
http://www.surveymonkey.com/s/KKPYBZV
We asked students six questions:
1. How many hours a week are you involved in extracurricular activity?
2. How many hours a week do you study
3. What is your major?
4. What year are you?
5. How many hours are you taking this semester?
6. What is your gpa?
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wwConclusion: We thought there would be a strong negative correlation between GPA and extracurricular activities, but when we put our results together we discovered there is very little correlation between any of the two variables. This could be partially due to the fact that our population was not as concentrated as it could have been. We also did not get to survey a large number of students compared with the number of students that go here.
Rvalues: 0.4792, 0.2787
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Simple linear regression results:
Dependent Variable: Hrs EX/wk Independent Variable: GPA Hrs EX/wk = 24.536314 + 10.554199 GPA Sample size: 30 R (correlation coefficient) = 0.4792 Rsq = 0.22962138 Estimate of error standard deviation: 5.900631 Parameter estimates:
Analysis of variance table for regression model:



Simple linear regression results:
Dependent Variable: hrs study/wk Independent Variable: GPA hrs study/wk = 17.048279 + 8.617933 GPA Sample size: 30 R (correlation coefficient) = 0.2787 Rsq = 0.077660546 Estimate of error standard deviation: 9.065162 Parameter estimates:
Analysis of variance table for regression model:


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