Title :
SLinRA2S: A Simple Linear Regression Analysis Assisting System
Author :
Chien-Ho Wu ; Jung-Bin Li ; Tsair-Yuan Chang
Author_Institution :
Dept. of Stat. & Inf. Sci., Fu Jen Catholic Univ., Taipei, Taiwan
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.
Keywords :
Java; data analysis; regression analysis; Java; SLinRA2S; databases; external files; simple linear regression analysis assisting system; statistical functions; tentative data analysis assistor; Analytical models; Buildings; Computational modeling; Data models; Databases; Linear regression; Java; R; active support; linear regression;
Conference_Titel :
e-Business Engineering (ICEBE), 2013 IEEE 10th International Conference on
Conference_Location :
Coventry
DOI :
10.1109/ICEBE.2013.33