Evaluation of the Quality of a Prognosis for an Industrial Product using the Regression Analysis
Journal: International Journal of Trend in Scientific Research and Development (Vol.Spec, No. 2)Publication Date: 2018-12-12
Authors : González Torres Arturo RodrÃguez Cuellar Ruth Marrón Ramos Domingo Noé Robles RamÃrez Diana P. Y Sevilla Pérez Rafael;
Page : 18-25
Keywords : Regression analysis; model; parameters;
Abstract
The present research presents the results obtained from a practical study with respect to the evaluation of the quality of a forecast for an industrial product using the regression analysis. A 95 reliability and a 5 error were used for the validation of the partial samples of the conductivity and density of the product. For the regression analysis the specialized software Minitab® was used in its test version. The results obtained in the research were that the regression model and the parameters of the model are significant, reason why, the regression analysis is significant. González Torres Arturo | RodrÃguez Cuellar Ruth | Marrón Ramos Domingo Noé | Robles RamÃrez Diana P. Y | Sevilla Pérez Rafael "Evaluation of the Quality of a Prognosis for an Industrial Product using the Regression Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | 2nd International Congress of Engineering , October 2017, URL: http://www.ijtsrd.com/papers/ijtsrd5822.pdf
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Last modified: 2018-12-12 17:51:44