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There are a lot of variables that can be used to predict a college student's GPA. Some numerical variables that could affect the GPA of
There are a lot of variables that can be used to predict a college student's GPA. Some numerical variables that could affect the GPA of the students are number of hours spent studying and household income. Now at first glance some may say that it is unrelated but that is not the case. If the income of the household is high, there is a lower chance of the student having a full-time job as well as being a full-time student. This liberates more hours in the day that can be used for studying. Another variable can be the high school they have attended and there current GPA in that high school. These are just some examples of different variables that could have an effect on a student's GPA. The slope of hours put into studying should go up to the right the same with the income increasing and the opposite if there is a lower income. Having a lower household income could cause the student to experience added stress on top of having to get a job to help with the family. An easier way to measure is the amount of students having jobs (part-time or full-time) and see how
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