LINEAR REGRESSION
DOI:
https://doi.org/10.24867/26JV02ZarkovicKeywords:
Linear regressionAbstract
We are introduced to the concept of regression analysis and types of regression. The basic concepts of linear regression are introduced, its division into simple and multiple linear regression is performed, and the method of least squares is shown, which is used to estimate the regression parameters. At the end, the conclusions are presented.
References
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2. Drinić, J. 2023 ‘Linearna i nelinearna regresija’, Zbornik radova Fakulteta tehničkih nauka u Novom Sadu, 38(05), pp. 699–702. doi:10.24867/22jv01drinic.
3. James, G., D. Witten, T. Hastie, R. 2013. Tibshirani, “An Introduction to Statistical Learning with Applications in R”, Springer, New York.
4. Lozanov-Crvenković, Z. 2012. Statistika. Prirodno- matematički fakultet, Univerzitet u Novom Sadu.
5. Lozanov-Crvenković, Z. 2012. Višestruka regresija. materijal sa predavanja iz predmeta Statističko modeliranje, Prirodno- matematički fakultet, Univerzitet u Novom Sadu.
6. Kiurski, J., Nedović Lj., Adamović, S., Oros, I., Krstić, J., Čomić L. 2012. International Journal of Structural and Civil Engineering, 2(1), 18-25.
7. Spiegel, M.R. and Stephens, L.J. 2008. Schaum’s outline of theory and problems of Statistics. New York, United States of America: McGraw-Hill.
8. Čobanović, K., Nikolić-Đorić, E., Mutavdžić, B. 2000. Teorijski i prakticni aspekti modela nelinearne regresije. Acta periodica technologica, 31(1), 351-62.
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Published
2024-04-04
Issue
Section
Mathematics in Engineering
