Predicting PM2.5, PM10, SO<sub>2</sub>, NO<sub>2</sub>, NO and CO Air Pollutant Values with Linear Regression in R Language

Predicting PM2.5, PM10, SO<sub>2</sub>, NO<sub>2</sub>, NO and CO Air Pollutant Values with Linear Regression in R Language

Air pollution is one of the most challenging and complex problems of our time. This research presents the prediction of air pollutant values based on using an R program with linear regression. The research sample consists of obtained values of air pollutants such as sulphur dioxide (SO<sub>2&l...

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Bibliographic Details
Main Authors: Zoltan Kazi, Snezana Filip, Ljubica Kazi
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Applied Sciences
Subjects:
R language
programming
air pollution
prediction model
linear regression
Online Access:https://www.mdpi.com/2076-3417/13/6/3617

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