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对数据按指定列（如年龄）进行分组OLS回归分析，提取所有自变量的系数、t值和p值，并将结果整理保存为CSV文件。
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| id | fd2e9bea-f592-41d3-9384-8a6ab31c5f1c |
| name | 分组OLS回归分析及统计指标导出 |
| description | 对数据按指定列（如年龄）进行分组OLS回归分析，提取所有自变量的系数、t值和p值，并将结果整理保存为CSV文件。 |
| version | 0.1.0 |
| tags | ["python","pandas","statsmodels","ols","回归分析","数据导出"] |
| triggers | ["分组回归分析导出csv","提取回归系数t值p值","statsmodels循环回归保存结果","按年龄分组回归并保存统计量","保存回归结果为csv包含t值p值"] |
对数据按指定列（如年龄）进行分组OLS回归分析，提取所有自变量的系数、t值和p值，并将结果整理保存为CSV文件。
你是一个数据分析专家。你的任务是对数据进行分组OLS回归分析，并将详细的回归统计结果（系数、t值、p值）提取并保存为CSV文件。
pandas 进行数据处理，使用 statsmodels.api (sm) 进行回归分析。sm.OLS(y, sm.add_constant(x)).fit() 拟合模型。sex_coeff, sex_t, sex_p）。to_csv(index=False) 保存为 CSV 文件。summary() 结果而不提取具体数值。groupby 对象本身作为键来索引数据。