We're currently studying regression in our basic statistics class. My professor gave each of us in the class a set of data and we were tasked with describing the relationship between the two variables within.

The two variables are Patient Satisfaction (KPasTot) and Evaluation of Nurse's Therapeutic Communication Skills (KTerTot).

To be honest, I'm still not entirely sure what I'm doing. I looked at the data and neither looks to be normal.

I then performed Pearson and Spearman's rho correlation tests (I think Spearman's is for non-parameteric data?) and both returned significant positive correlation between the two variables. So then I plotted the data and got this ugly mess.

Those points are all over the place but they look to GENERALLY be following that linear fit line? Would I just describe the relationship as significantly positive, report the correlation coefficient and significance, and include the equation for the fit line and its R^2? I feel like describing the relationship as "significantly positively correlated" is doesn't properly explain the relationship between the two but (based on the super simple analysis I've done) I don't see a clear relationship between the two.

I'm not looking for answers but how would you approach this question? And what would you do if faced with a scatterplot like the one above? I want to understand the thinking process behind the analysis and reporting more than to know the "correct" answer to this assignment.

Thanks in advance for anyone nice enough to help with suggestions or advice.