Modeling the Well-Being of the Population and Its Factors Using the Well-Being Index

Rutskiy, Vladislav; García, Darío Salguero; Denisova, Elena; Alina, Fukalyak; Okashev, Nikolay; Devederkin, Igor; Bystrova, Natalia; Eliseeva, Evgeniya; Tsarev, Roman

doi:10.1007/978-3-031-35317-8_55

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2024

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Cited by 2 publications

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Applying Multiple Regression to Evaluate Academic Performance of Students in E-Learning

Esponda-Pérez,

Mousse,

Almufti

et al. 2024

Lecture Notes in Networks and Systems

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Applying Multiple Regression to Evaluate Academic Performance of Students in E-Learning

Esponda-Pérez,

Mousse,

Almufti

et al. 2024

Lecture Notes in Networks and Systems

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Standardization of Regression Equation Parameters in the Case of Multiple Linear Regression for an Econometric Model Development to Determine the Price of Apartments

Szentesi,

Pantea,

Trifan

et al. 2024

Proceedings of the International Conference on Business Excellence

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This study examines the relationship between apartment prices in Romania and various influencing factors, for which we have constructed a model using multiple linear regression. This type of regression equation's parameters hold practical significance as they aid in establishing the regression equation. The form of the connection, specifically the parameters that define it, greatly influences our understanding of the connection between various quantified variables in the proposed model. By determining the regression function in this manner, we created a model that allows us to make predictions or draw conclusions based on the variables within the model. Microeconomic variables are crucial in influencing real estate price variations at the individual property level. These variables are more specific and relate to factors within the local market of Arad or the property itself. Some key microeconomic variables can influence real estate prices, which are important to ascertain using statistical tools.

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Modeling the Well-Being of the Population and Its Factors Using the Well-Being Index

Cited by 2 publications

References 9 publications

Applying Multiple Regression to Evaluate Academic Performance of Students in E-Learning

Applying Multiple Regression to Evaluate Academic Performance of Students in E-Learning

Standardization of Regression Equation Parameters in the Case of Multiple Linear Regression for an Econometric Model Development to Determine the Price of Apartments

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