So, one way we could look at it is by looking at this density dot diagram, where the density of the dots correlates to the probability density.

其中一个理解它的方法,就是通过看这个密度点图，这里点的密度,和概率密度想关联的。

麻省理工公开课 - 化学原理课程节选

What Backus, Kehoe, and Kydland did was look at how much the consumption correlates-- the movement from year to year-- correlate across countries.

巴克斯，凯赫和基德兰德做的就是,研究这些消费的相关性-,不同年份消费的相关性-,不同国家的不同运动规律。

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Then we go negative and we go through zero again, which correlates to the second area of zero, that shows up also in our probability density plot, and then we're positive again 0 and approach zero as we go to infinity for r.

并且再次经过,这和，第二块等于0的区域相关联,这也在,我们的概率密度图里反映出来了，然后它又成了正的,并且当r趋于无穷时它趋于。

麻省理工公开课 - 化学原理课程节选