The Relationship and Regression Analysis of Urban Water Supply and Temperature
| Autor: | Heng Hua Shi, Yuan Yuan Li, Wen Guo Weng, Zheng Gan Zhai |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
education.field_of_study
Correlation coefficient business.industry Population Water supply Regression analysis General Medicine Regression Pearson product-moment correlation coefficient symbols.namesake Beijing Scale (social sciences) Statistics Econometrics symbols Environmental science education business |
| Zdroj: | Applied Mechanics and Materials. :2420-2423 |
| ISSN: | 1662-7482 |
| DOI: | 10.4028/www.scientific.net/amm.256-259.2420 |
| Popis: | Urban water supply system and the people’s daily life are closely related. In addition to the urban population, the structure and the scale of economic, the factors affecting the requirement of urban water supply included the meteorological factors such as temperature. Based on Pearson product-moment correlation coefficient, we analyze the relationship between urban water supply and temperature with the actual data of Beijing from 2008 year to 2009 year, and get regression fitting function with multiple regression analysis method. The analysis result can provide the basis for scientific management and accurately predict urban water supply. |
| Databáze: | OpenAIRE |
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