Yasar, SeymaArslan, A. KadirColak, CemilYologlu, Saim2024-08-042024-08-042019https://hdl.handle.net/11616/99038International Conference on Artificial Intelligence and Data Processing (IDAP) -- SEP 21-22, 2019 -- Inonu Univ, Malatya, TURKEYThere are many assumptions that should be provided in regression and correlation analyses. If the assumptions are not met, the results of the analysis lead to errors. Multivariate regression analyses are performed by many software. However, many of this software are commercial and platform dependent. In this study, open source web-based software is developed to test the assumptions of simple/multiple linear regression, simple/multiple logistic regression analysis and correlation analysis, which are classification and regression techniques in machine learning. This software also provides a statistical interpretation of the results to researchers.eninfo:eu-repo/semantics/closedAccessLogistic regressionlinear regressioncorrelationopen source web-based softwareConference Object2-s2.0-85074886759N/AWOS:000591781100044N/A