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I'm researching on the relationship between Scholarship and years. I have scatter plot below. The x axis is equal to the total amount of scholarship for a student. The y axis show the term a student took to complete his/her phD.

enter image description here

I'm not sure how I should interpret this scatter plot. I would be appreciate for any help.

==== editted 2021/08/11===

I changed the transparency of the scatterplot so I can check the density of bottom-left area. The result is like below.

enter image description here

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It seems that the average student, will take on average a 1.5 Scholarships (somewhere between 0-2.5) if finish on average the Ph.D. in 5.5 terms (somewhere between 0-10), i.e. if we could average the points in the left bottom corner.

Also, for sure we can identify that students that need a big amount of terms to finish their Ph.D. for sure they have the least amount of scholarships, whereas the most scholarships are taken by students that are relatively quick in finishing their Ph.D. 0-10 terms.

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At first glance, I'd say that, with inceasing X, Y stabilizes at around 5.

At second glance: can you make points transparent to see how dense they are in bottom left area of your plot?

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  • $\begingroup$ Thank you for your help. I made the scatter plot dots transparent so I can check the density. It seems most of samples are located in the bottom left area. The problem is I have no idea how to interpret this... $\endgroup$
    – Jay LIm
    Aug 11 at 5:59
  • $\begingroup$ @JayLIm Points on transparent plot are very different from those on non-transparent one. Why is that? $\endgroup$
    – Łukasz Deryło
    Aug 11 at 6:20

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