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。
Finally, robustness of the simple projection predictor in the general growth curve model with different linear predictable variable on the covariance matrix are investigated.
最后，我们还研究了一般生长曲线模型在不同可预测变量下的简单投影预测关于协方差阵的稳健性。
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