We combine unitary nonlinear regression with multivariate linear regression, it can reduce the error sum of squares of the model and improve the precision of forecast.

即把一元非线性回归和多元线性回归结合起来，构造一个混合回归模型，这样就减小了模型的残差平方和，从而提高预报的准确性。

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The correlation coefficient y-intercept slope of the regression line and residual sum of squares should be submitted.

应该提交其相关系数、Y轴截距、回归线斜率、残差平方和。

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Based on the criterion of deviation squares sum, a general forecasting equation is set up by using goal programming. It has advantages over the analysis of multi-variable linear regression.

提出依据离差绝对值和准则，用目标规划建立多元线性预测方程，该方法优于回归分析。

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