Regression Analysis of Work Hours in Relation to Gpa

Topics: Regression analysis, Linear regression / Pages: 6 (1306 words) / Published: Mar 5th, 2013
Tiffany Camp

ECO-250

Volker Grzimek

Regression Analysis of Work Hours in Relation to GPA

This research investigated the affects of working extra hours in a labor position on students’ GPAs each semester at Berea College. It was my belief that students who worked more hours were more likely to have lower GPAs due to their studying abilities and opportunities being compromised as a result of working too long (a negative correlation or trend between GPAs and hours worked each week). For each hour a student worked it was my belief that he or she became more fatigued, more stressed, and lost an hour in which to study. Each student must work at least ten hours here on campus as required by the Berea College Labor Program. Students may select to work more to make more money or to gain experience in a chosen field, or they may have to work more to meet work requirements for state assistance programs which help them financially but require that certain number of hours (usually 20) be worked by the student each week.

In order to test this hypothesis it was important that I collect unbiased samples. I did so by placing a survey in the labor program office where any random student was just as likely as any other to come in during this time of year when all students were turning in forms for their labor positions for the next year. I asked the students to record their classification (freshman, sophomore, etc.), whether or not they were recent transfer students, the number of hours they worked, and their semester GPA. I specifically asked that all of this information be in regards to the last full term, fall semester of 2011, so as not to get incomplete data for the current semester which is not finished. I only asked for their semester GPA and their number of hours they worked each week during that same semester and not for their entire college career.

This was so that I would not need to account for the fact that students can work a different

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