The optimal solution to the problems by regression analysis

• Published in: Journal of Engineering Management and Competitiveness (Online) Vol. 9; no. 1; pp. 25 - 37
• Main Author: Popović, Branko
• Format: Journal Article
• Language: English
• Published: University of Novi Sad, Technical faculty Mihajlo Pupin, Zrenjanin 2019
• Subjects: optimal solution for problems; regression analyses
• ISSN: 2334-9638; 2217-8147
• DOI: 10.5937/JEMC1901025P

Problems are various possible and impossible questions, tasks and riddles that are being set up and attempt to solve in different ways. However, assuming that half of all problems are not solvable and that the remaining one-fourth cannot be defined, there are good chances for a successful mathematical solution to the second quarter of the problem. Problem-solving using regression analyses allows determining the relationship between the dependent response and the independent factors through defined regression functions, relationship estimates, predicting results, simulating data, optimizing the sizes, and improving the resolution process. Although there are many regression analyses, linear regression analyses are usually used. The author proposes the application of Procedure for selecting a significant regression analysis between 16 different regression analyses and Procedures for solving regression analyses. Using this approach in this release, an optimal solution of the problem of finding the optimal best sun exposure position for the solar collector is shown.