@article{(Open Science Index):https://publications.waset.org/pdf/10001557,
	  title     = {Choosing between the Regression Correlation, the Rank Correlation, and the Correlation Curve},
	  author    = {Roger L Goodwin},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper presents a rank correlation curve. The
traditional correlation coefficient is valid for both continuous
variables and for integer variables using rank statistics. Since
the correlation coefficient has already been established in rank
statistics by Spearman, such a calculation can be extended to
the correlation curve.
This paper presents two survey questions. The survey
collected non-continuous variables. We will show weak to
moderate correlation. Obviously, one question has a negative
effect on the other. A review of the qualitative literature
can answer which question and why. The rank correlation
curve shows which collection of responses has a positive
slope and which collection of responses has a negative slope.
Such information is unavailable from the flat, ”first-glance”
correlation statistics.},
	    journal   = {International Journal of Humanities and Social Sciences},
	  volume    = {9},
	  number    = {5},
	  year      = {2015},
	  pages     = {1699 - 1703},
	  ee        = {https://publications.waset.org/pdf/10001557},
	  url   	= {https://publications.waset.org/vol/101},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 101, 2015},
	}