复相关系数、F检验、t检验结果表明，该模型满足线性与方差齐性的假设，拟合效果较好。
The result of multiple correlation coefficient testing, F-testing and t-testing indicates that the model meets the hypothesis testing of linearity and its matching effect is preferable.
为了比较两个线性模型的拟合优度哪一个高，本文提出了对两个模型的拟合优度进行假设检验的方法，对该方法的原理进行了论证。
To compare the goodness of fit of two linear models, a method of hypothetic test has been proposed in this paper. The principle of the methods is proved theoretically.
本文则讨论加权非线性回归方差齐性的假设检验问题。
In this paper, we extend their result to nonlinear regression.
本文则讨论加权非线性回归方差齐性的假设检验问题。
In this paper, we extend their result to nonlinear regression.
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