03457ntm a22005417i 4500 000699038 CZ-PrVSE 20230610093205.0 m d cr n|||||||||| 230610s2023 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Monsalve Blanco, Maria Camila ISIS:165339 dis Regression Analysis for Assessing Air Pollution eng Exploring Determinants of Air Pollution in Czech Republic : A Multi-variable Cross-sectional Aanalysis (2017-2021) Maria Camila Monsalve Blanco 2023 ?? stran : digital, PDF soubor Vedoucí práce: Karel Helman Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2023 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2023 The objective of this thesis is to investigate both the paired and partial relationships between pollution levels and the explanatory variables Precipitation, Temperature, Population Density, Percentage of Urban Municipalities, Environmental Protection expenditure, GDP per Capita, Passenger Cars, Autobuses, and Cattle in the 14 regions of the Czech Republic for each year from 2017 to 2021 using separate cross-sectional regression analyses. By examining paired relationships, this study will assess the lineal relationships between individual variables and pollution levels, while partial relationships will account for the presence of other explanatory variables. Data Scraping was used to collect the necessary air pollution data from the Czech Hydrometeorological Institute website. The author conducts an initial exploratory analysis of the pollution and the explanatory variables for each year to gain an understanding of the overall trends, distributions, and patterns across the 14 regions. This involves calculating summary statistics and visualizing the data using scatter plots. Next, separate cross-sectional regression analyses for each year from 2017 through 2021 are performed to examine the paired as well as the partial relationships between pollution levels and the explanatory variables. Způsob přístupu: Internet data analysis and modeling [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas Exploratory Data Analysis Paired Relationships Partial Relationships Linear Relationship Regression Analysis Air Pollution Descriptive Regression Helman, Karel xx0260953 ths Čabla, Adam, 1985- vse2015897119 opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/82699/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/82699 Hlavní práce https://insis.vse.cz/zp/82699/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/82699/posudek/oponent/77796 Oponentura https://insis.vse.cz/zp/82699/podrobnosti dc:identifier NEPOSILAT VSKP vse82699 230606 82699