问题如下图：
选项：
A. 
B. 
C. 
老师您好，这道题的答案解析好像和咱们的强化讲义完全冲突啊
咱们的讲义（强化班14页）上说
Multicollienity
"not affect the consistency of regression coefficient estimates"
这道题的答案却给了完全相反的解释。谢谢老师
NO.PZ201512020300000306 为什么这里parameter estimates 是 inconsistent. 样本容量没变，难道不是不影响consistency吗
NO.PZ201512020300000306 老师 这个知识点在哪
NO.PZ201512020300000306 No, because the mol’s coefficient estimates will unbiase No, because the mol’s coefficient estimates will consistent. A is correct. Chang is correbecause a correlateomittevariable will result in biaseaninconsistent parameter estimates aninconsistent stanrerrors. 一致性为什么会Bias
No, because the mol’s coefficient estimates will unbiase No, because the mol’s coefficient estimates will consistent. A is correct. Chang is correbecause a correlateomittevariable will result in biaseaninconsistent parameter estimates aninconsistent stanrerrors. 为什么？遗漏的变量和在mol内的变量相关被删除了还会bias？还有什么强弱相关性？完全不知道是哪里的知识点
No, because the mol’s coefficient estimates will unbiase No, because the mol’s coefficient estimates will consistent. A is correct. Chang is correbecause a correlateomittevariable will result in biaseaninconsistent parameter estimates aninconsistent stanrerrors. 这个题不是说遗漏变量吧？不是说省略的变量与现存其他变量是correlate吗？那不是应该省略，怎么会带来一系列问题呢？
