SLinRA2S: A Simple Linear Regression Analysis Assisting System

Chien-Ho Wu, Jung-Bin Li, Tsair-Yuan Chang

2013 · 10 citations · 10 references

DOIFull text

Open access

Abstract

Acquiring quality Information is critical to decision makings. In general the production of information for a particular decision scenario involves a process of analyzing data from various sources using some statistical methods. The proper application of the chosen statistical methods for analysis in turn relates, in a large portion, to the quality of the information generated for the decision scenario. To ensure a consistent and sound application of statistical methods to data analysis we followed the idea of active support and designed a tentative data analysis assistor, SLinRA2S, which can guide a data analyst through the process of applying simple linear regression on data sets from external files or databases. SLinRA2S is implemented in Java and it invokes R for statistical functions. The assistor not only promises the relief of a data analyst from computation errands but also contributes to the correct application of statistical methods.

References

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