In Extension, it is helpful to be able to analyze data in simple and innovative ways that produce easily interpretable results. Cate-Nelson analysis is a simple way to divide bivariate data into two populations to emphasize the relationship between the x variable and y variable. While a Cate-Nelson analysis could be performed by manually calculating iterative Sums of Squares to determine the best fit, this process could be partially automated with the included SAS code. Alternatively, the included R-project code automatically completes the analysis, outputs the relevant statistics, and produces the relevant plots.
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Mangiafico, S. S. (2013). Cate-Nelson Analysis for Bivariate Data Using R-project. The Journal of Extension, 51(5), Article 33. https://tigerprints.clemson.edu/joe/vol51/iss5/33