将偏回归平方和理论运用到影响煤炭需求量预测指标的选取中，确定了影响煤炭需求量预测的主要指标。
This paper applied the theory of partial regression square sum into selecting the main prediction indexes which influence the coal demand.
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。
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.
由点线距的平方和最小，得出一种求回归系数的新公式。
A new formula is obtained to find out regression coefficients, based on the fact that the quadratic sum of distance between line and spots in minimum.
改进了可线性化回归方法的理论，给出了可线性化回归新方法，利用实例说明，与传统回归法相比，新方法具有偏差平方和小、精确度高的优点。
This paper improves the theory and method of available linearized regression and gives the new method. Examples illustrate that the square of deviance is smaller by using the new method.
应该提交其相关系数、Y轴截距、回归线斜率、残差平方和。
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。
The correlation coefficient y-intercept slope of the regression line and residual sum of squares should be submitted.
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