Multiple Linear Regression Model of Environmental Variables, Predictors of Global Solar Radiation in the Area of East Lima, Peru

Multiple Linear Regression Model of Environmental Variables, Predictors of Global Solar Radiation in the Area of East Lima, Peru

Multiple regression models are very relevant to predict values using predictor variables. The objective of this study was to predict the global solar radiation in the year 2019 in the area of East Lima, Peru. Three continuous quantitative predictor variables were analyzed: temperature, humidity, win...

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Veröffentlicht in:IOP conference series. Earth and environmental science 2022-04, Vol.1006 (1), p.12009
Hauptverfasser: Soria, Juan J, Poma, Orlando, Sumire, David A, Rojas, Joel Hugo Fernandez, Chipa, Sulamita Marinela Ramos
Format: Artikel
Sprache:eng
Schlagworte:
Continuity (mathematics)
Humidity
Multiple regression models
Radiation
Regression analysis
Solar radiation
Summer
Variables
Wind
Wind speed
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Zusammenfassung:Multiple regression models are very relevant to predict values using predictor variables. The objective of this study was to predict the global solar radiation in the year 2019 in the area of East Lima, Peru. Three continuous quantitative predictor variables were analyzed: temperature, humidity, wind speed and the response variable was global solar radiation, resulting in a model with excellent significance p
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/1006/1/012009