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
1. 请问图中的chi2()和df的值是什么意思呀?有什么统计含义吗?是不是只要Prob小于0.05就拒绝原假设而采用固定效应模型?
2. 是不是在做回归之前都要确定面板数据到底是固定模型还是随机模型?
http://data:image/png;base64,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
3. 这里的拟合优度可以吗(这是一篇关于公司治理的金融论文)?如果可以的话请问如何在论文中进行解释?
4. 这里的F值是什么意思?能说明什么?
5. 括号里的T-statistic又是什么意思?
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