With the widely used paradigm "Calibration of comprehension" proposed by Glenberg and his colleagues, researchers find that people\'s accuracy of test predictions is often poor.

With concrete energy as dependent variable and four chemistry contents as independent variables,the regression equation is established and the prediction interval result is achieved,which testified the using of regression analysis method in concrete inner energy prediction.

According to the fact that a common method for product quality modeling has not very high modeling accuracy and its prediction intervals can not be given, a model of product quality based on wavelet relevance vector machine was proposed.

An interval prediction algorithm for chaotic hydrological time series is proposed.

In fact, the author finds that inverse proportion curve regression model should be the optimum by regression fit, significance test, interval prediction,and variance analysis.

Algorithms for searching the optimal embedding dimension and interval prediction are presented,which can be applied in practice with satisfactory.