楼主，我情况和一差不多，哎，急的快哭了

自己顶，请求帮助

1# 小侠飘飘

它们的关系本来就是那样，你为什么要人为的让它高呢？！

那这种关系能报告吗？还是太低没有意义？

你是研究什么的啊，干吗一定R2要很高啊，因素那么多，不一定非要都考虑到啊

我研究职业发展需要，我后来的因素只有6个，但R2更低了，这个不是解释结果的百分比吗？过低不是说明回归方程拟合的不好吗？

我用sas做的主成分分析，r2也很小，一般要达到0.3以上吧，我欲哭无泪啊，不知楼主当时怎么处理的

It does not matter whether the R2 is low or high. Instead, focus on the estimated coefficients and examine their significancy. More importantly think about how to interpret them (i.e. are the signs what you expected or consistent with the theory prediction?). Further, conduct the specification tests and make sure the OLS assumptions are not violated. I have read empirical papers with very low R2 and still published at top-tier journals.

楼上这段话很鼓舞人心啊。我也正为R2比较低而不知如何处理呢。希望楼上能用中文更详细地讲讲这个问题。