Fishman Island Group One (Mike Kim, Ben Burke)

This data set has four columns: gender, GPA, hour studies, and hours slept per week. Just skimming the chart, we tried to look for correlations between hours studied and GPA and hours slept and GPA. This is difficult to do in this format and would be much easier to analyze with a graph, as we are studying more than one variable. In order to properly study these variable, assuming that the hypothesis of the study was that more sleep correlates to a higher GPA and more hours studied correlates with a higher GPA, we would make two different scatterplot graphs comparing these two sets to each other. In both cases, GPA would be the dependent variable. In the end, we made scatterplot graphs and found that there was a positive correlation between hours studied and GPA, however there was no correlation between hours slept and GPA. We have been able to identify a couple of outliers that do not support this hypothesis, as the individual with the most hours studied (50) has a GPA of 1.12.