If that probability is low, then you can reject the null hypothesis that the mean is the best predictor and, correspondingly, gain confidence that a simple linear model offers a good fit for the data.
如果概率很低，那就可以不采用平均值是最佳预测值这一无效假设，并且相应地可以确信简单线性模型是与数据良好吻合的。
Using linear regressive models (e. g. AR, ARMA model) to fit and predict the climatic time series, the results are not sufficiently good because there exist nonlinear variations in the time series.
在用AR、ARMA等线性模式对气候序列进行拟合和预报时，由于气候序列中存在着非线性变化，所以拟合和预报效果往往不太理想。
MethodsRisk factors of DM was analyzed by factor analysis and linear structural relation model, then fit and evaluate the model.
方法采用因子分析和线性结构方程模型分析糖尿病患病危险因素，并进行模型拟合与评估。
A standard linear solid model (kelvin model) was used to fit the experimental data.
同时以标准线性固体模型对实验数据进行了拟合。
Methods:Power model of non-linear regression was adopted to fit the curve of incidence of malaria, which result is contrast with the same model came from curve estimation method.
方法：对疟疾发病率曲线进行非线性过程的幂函数拟合，并与用曲线参数估计法的幂函数拟合结果进行对比。
Thus, its goodness of fit and inspection accuracy were better than the simple linear regression model, which could be used as a reference model for NDVI inversion PRI.
因此其拟合优度和检验精度均优于单纯的线性回归模型，可作为NDVI反演pri一种参考模型。
According the characteristics of the bivariate repeated measurement data, using the MIXED procedure of SAS software to fit linear mixed effects model.
目的：通过混合效应线性模型与单因素方差分析在重复测量资料中的应用比较，旨在说明两方法在处理重复测量资料时的应用特点。
CONCLUSION the theoretical values obtained by non-linear least square model fit program is near to the test values. The theoretical equations can describe accurately the release kinetics of pellets.
结论采用非线性最小二乘法拟合释药动力学方程得到的理论值更接近真实值，说明由非线性最小二乘法模型嵌合通用程序得到的动力学方程能准确表征微丸的释药动力学。
CONCLUSION the theoretical values obtained by non-linear least square model fit program is near to the test values. The theoretical equations can describe accurately the release kinetics of pellets.
结论采用非线性最小二乘法拟合释药动力学方程得到的理论值更接近真实值，说明由非线性最小二乘法模型嵌合通用程序得到的动力学方程能准确表征微丸的释药动力学。
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