Process / pipelinepredictive-modeling
多元回归分析
多元回归分析是一种统计方法，用于模拟一个连续因变量与两个或多个自变量（预测变量）之间的关系。该方法起源于高斯（Gauss）19世纪初的工作，并由Draper和Smith（1966）正式化，它通过估计线性方程来预测由多个预测变量引起的结果，同时考虑了混杂关系，这使其在流行病学、经济学、心理学和临床研究中不可或缺。
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来源
- Draper, N. R., & Smith, H. (1966). Applied Regression Analysis. John Wiley & Sons. link ↗
- Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (1992). Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences (2nd ed.). Lawrence Erlbaum. link ↗
- Marquardt, D. W. (1980). You should standardize the independent variables in your regression models. Discussion of a paper by G. David Knottnerus. Journal of the American Statistical Association, 75(369), 87–91. link ↗
如何引用本页
ScholarGate. (2026, June 4). Multiple Linear Regression. ScholarGate. https://scholargate.app/zh/research-statistics/multiple-regression-analysis
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