Modelling Indoor Air Quality by Selecting Input Parameters (1)Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia Abstract We assess the indoor air quality parameters by monitoring chemical and physical variables at primary school in Terengganu. The data were collected during school hours for modeling purposes. Three models were developed including the stepwise method (Model A), correlation analysis (Model B) and enter method (Model C). It is found that Model A outperformed Model B and C due to high Coefficient of determination (R2) of Model A (R2=0.703) compared to Model B (R2=0.697) and Model C (R2=0.187). The ability of the method to manage large amounts of potential predictor variables, fine-tuning the model to choose the best predictor variables from the available options is the main reason for the best selected method. Keywords: temperature, indoor air quality, regression, school Topic: Natural Disaster Mitigation and Adaptation |
SIMNASKP 2023 Conference | Conference Management System |