关于交互项的经济解释的几个问题

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最近读了一篇文章，文章中有几个关于交互项经济解释的记算，是这么说的：
The  mean cumulative number of upgrade experiments among firms with high-end machines is 2.21,
and the average fraction of low-end products in this sample is 0.67. Therefore the coefficient on
the interaction term of 0.087 implies that one additional upgrade experiment, conditional on the
mean fraction of low-end products, was associated with a 5.8 percentage point higher output
growth. This is slightly over 30 percent of the interquartile difference in growth rates across
firms. Similarly, a one-standard-deviation increase in the fraction of low-end products was
associated with a 6.3 percent higher total output growth rate at the mean number of cumulative
upgrade experiments.


楼主实在没明白这些数字是怎么的出来，背后的涵义是什么完全一窍不通，希望有大佬指点迷津，不胜感激！

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关键词：经济解释 交互项 Experiments conditional coefficient

5.8≈0.087×0.67
6.3的算法类似，但最后还要乘the fraction of low-end products的标准差