Without computing any information or looking at the numbers, one would think that given the obstacles for each degree, the student’s GPA scores should be relatively similar to each other, although this is why we use correlation charts such as these in order to prove and analyze the data sets. The chart we will use will take both variables, the GPA of both the masters and …show more content…
The correlation coefficient is the measurement of the correlation, which is represented by the Greek letter RHO when dealing with a population or letter “r” when dealing with a sample (Mirabella, 2011). Correlations that are .7-.99 are considered strong, .3-.69 are considered moderate and .01-.29 are considered weak. For this sample the correlation coefficient is .552, which is right near the middle of a moderate correlation classification. If it were to be .1 higher, then we would be more inclined to be able to conclude that the correlation is on the higher end of the moderate scale, which would give us more confidence in the correlation but that’s not true in this