%0 Journal Article %1 noauthororeditor %A Kim, Deog-Gyeong Yoon | Jai-Won Chung | Tae-In Hyon | Gyu-Sik %D 2020 %J International Journal of Trend in Scientific Research and Development %K Electrical Engineering concentration humidity linear multiple prediction radon regressions temperature %N 2 %P 628-631 %T Prediction of Radon Concentration after 24 Hours using Multiple Linear Regression Analysis %U https://www.ijtsrd.com/engineering/electrical-engineering/30092/prediction-of-radon-concentration-after-24-hours-using-multiple-linear-regression-analysis/deog-gyeong-yoon %V 4 %X In this paper, we propose the model for predicting radon concentration after 24 hours using multiple linear regression analysis. If the proposed predictive model predicts the concentration of radon after 24 hours, simple methods such as using a ventilator or opening a window can greatly reduce the concentration of radon that can be exposed. Deog-Gyeong Yoon | Jai-Won Chung | Tae-In Hyon | Gyu-Sik Kim ""Prediction of Radon Concentration after 24 Hours using Multiple Linear Regression Analysis"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30092.pdf Paper Url : https://www.ijtsrd.com/engineering/electrical-engineering/30092/prediction-of-radon-concentration-after-24-hours-using-multiple-linear-regression-analysis/deog-gyeong-yoon

@article{noauthororeditor, abstract = {In this paper, we propose the model for predicting radon concentration after 24 hours using multiple linear regression analysis. If the proposed predictive model predicts the concentration of radon after 24 hours, simple methods such as using a ventilator or opening a window can greatly reduce the concentration of radon that can be exposed. Deog-Gyeong Yoon | Jai-Won Chung | Tae-In Hyon | Gyu-Sik Kim ""Prediction of Radon Concentration after 24 Hours using Multiple Linear Regression Analysis"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30092.pdf Paper Url : https://www.ijtsrd.com/engineering/electrical-engineering/30092/prediction-of-radon-concentration-after-24-hours-using-multiple-linear-regression-analysis/deog-gyeong-yoon }, added-at = {2020-05-14T07:38:47.000+0200}, author = {Kim, Deog-Gyeong Yoon | Jai-Won Chung | Tae-In Hyon | Gyu-Sik}, biburl = {https://www.bibsonomy.org/bibtex/2330cfbc6db47bdbcc700f372f3f3e423/ijtsrd}, interhash = {4c7f33a3f3ff4a9a6e96392a3d2e5f74}, intrahash = {330cfbc6db47bdbcc700f372f3f3e423}, issn = {2456-6470}, journal = {International Journal of Trend in Scientific Research and Development}, keywords = {Electrical Engineering concentration humidity linear multiple prediction radon regressions temperature}, language = {English}, month = jan, number = 2, pages = {628-631}, timestamp = {2020-05-14T07:38:47.000+0200}, title = {Prediction of Radon Concentration after 24 Hours using Multiple Linear Regression Analysis }, url = {https://www.ijtsrd.com/engineering/electrical-engineering/30092/prediction-of-radon-concentration-after-24-hours-using-multiple-linear-regression-analysis/deog-gyeong-yoon}, volume = 4, year = 2020 }