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Application of Regression Model to Fuxianhu Lake Water Quantity Forecasting

Yanping Li

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Abstract

The regression analysis can be expressed mathmatially and enables the data prediction.Based on the analysis of the influential factors of the precipitation,the multiple regression and stepwise Regression are adopted.And the main influential factors are defined and the forecasting model is set up. The analysis and comparison show that the multiple regression has achieved the best effect and can be used in the long-term water storage prediction,which will provide the lake water resources management with the reliable reference.

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What this paper is about

The regression analysis can be expressed mathmatially and enables the data prediction.Based on the analysis of the influential factors of the precipitation,the multiple regression and stepwise Regression are adopted.And the main influential factors are defined and the forecasting model is set up. The analysis and comparison show that the multiple regression has achieved the best effect and can be used in the long-term water storage prediction,which will provide the lake water resources management with the reliable reference.

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Available abstract

The regression analysis can be expressed mathmatially and enables the data prediction.Based on the analysis of the influential factors of the precipitation,the multiple regression and stepwise Regression are adopted.And the main influential factors are defined and the forecasting model is set up. The analysis and comparison show that the multiple regression has achieved the best effect and can be used in the long-term water storage prediction,which will provide the lake water resources management with the reliable reference.

Key concepts: Regression analysis, Stepwise regression, Regression, Precipitation, Linear regression, Regression diagnostic, Cross-sectional regression, Proper linear model

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