The purpose of this article is to show the importance of straight data for the simplicity and desirability it brings for good model building practice. I illustrate the topic sentence by giving details of what to do when an observed relationship between two variables depicted in a scatterplot is masking an acute underlying relationship. Data mining is employed to unmask and straighten the obtuse relationship. The correlation coefficient is used to quantify the strength of the exposed relationship, which possesses straight-line simplicity.

For an interesting read, click here.