求大神翻译下成英文,谢谢了!

问题描述:

求大神翻译下成英文,谢谢了!
  第二个来自统计分析工具--相关性.统计相关性是经济学中常用的一种分析工具.相关性是指当两个因素之间存在联系的时候,一个典型的表现是:一个变量会随着另一个变量变化.相关又会分成正相关和负相关两种情况.我用书中作者的例子来举例说明,下雪外面就会变冷,这是正相关.出太阳就不会下雨,这是负相关.比如每天更新自己的Blog就会提升自己的排名吗?如果经过统计发现,排在Blogger排行榜上的多数Blogger的更新频率是每天一次,似乎我们就可以说结论成立.但其实不然,影响Blogger的排名因素远远不止一个更新频率,上述假设的数据只是说明更新频率和Blogger排名存在一种正相关.
  
1个回答 分类:英语 2014-10-29

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The second comes from statistical analysis tools - correlation.Statistical correlation is commonly used in economics an analytical tool.Relevance refers to when there is a link between the two factors,when a typical performance are:a variable with another variable changes.Correlation will be divided into positive and negative two cases.I used the book to illustrate the author's case,it will get cold snow outside,which is a positive correlation.The sun will not rain,it is negative..Such as their own Blog updated daily will improve their rankings?If,after statistics showed that ranked on the list of most Blogger Blogger update frequency is once a day,it seems that we can say that conclusion is true.But on the contrary,Blogger ranking factors affecting far more than an update frequency,data only to illustrate the above assumptions and Blogger ranked update frequency there is a positive correlation.
 
 
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