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。
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.
在研究环境中,需要通过理论参数和统计参数来建立线性模型备择假设。
In a research context, the alternative hypothesis of a linear model needs to be established by theoretical and statistical arguments.
显然,这是一个很简单的模型,它只使用了一个参数,并假设了一个线性关系。
Obviously, this is a very simple model, which only USES a single parameter and assumes a linear relationship.
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