模型中异方差剔除过程需要写吗？还是可以直接写异方差修改过的结果？

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如下图，模型并不是太好。且模型存在异方差，然后使用了里面一个解释变量作权重，进行加权回归。回归的结果，里面的N多变量p值变为0了，这样是不是不太好，似乎有造假的嫌疑。且这样做了以后模型还是存在异方差。哎，该怎么办

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关键词：异方差 加权回归 解释变量 多变量 怎么办 模型

From your data,
I assume that your model needs further development.

Adjusted R^2 so low.

You may get rid of those variables whose prob is so big,
e.g. 0.19, 0.287 and 0.91.

I hope this could give you a better model.
Good luck buddy.

cpamodeler 发表于 2014-10-11 10:20
From your data,
I assume that your model needs further development.

thx，sir!but those variables you suggest me to get rid of is my core variables,I can not abandon them.

OK,
it makes your problem easier now.

Based on your analysis,
those variables won't have material influence on your dependent variable.

Use your data to guide your conclusion.

can not I ues the modle after heteroscedasticity correcting ? what if I use the modle after corretting rather
than detail the correcting process? thx for your answer!