Multiple Linear Regression
Multiple Linear Regression
复制标题
DOI：
10.1007/978-1-4939-9429-8_2
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Cheng-Few Lee;Hong-Yi Chen;John C. Lee
中科院分区：
文献类型：
--
作者：
Cheng-Few Lee;Hong-Yi Chen;John C. Lee
第13章和第14章详细研究了具有一个自变量（例如肥料用量）和一个因变量（例如玉米产量）的简单回归模型。然而，在许多情况下，不止一个因素会影响所研究的结果。除了肥料之外，降雨和温度也肯定会影响玉米的产量。在商业领域，不仅整个股票市场的回报率会影响通用汽车或福特股票的回报率。其他变量，如杠杆率、派息率和股息收益率也有影响。因此，具有多个自变量的回归分析是一种重要的分析工具。
Chapters 13 and 14 examined in detail the simple regression model with one independent variable (such as amount of fertilizer) and one dependent variable (such as yield of corn). In many cases, however, more than one factor can affect the outcome under study. In addition to fertilizer, rainfall and temperature certainly influence the yield of corn. In business, not only rates of return for the stock market at large affect the return on General Motors or Ford stock. Other variables, such as leverage ratio, payout ratio, and dividend yield also contribute. Therefore, regression analysis with more than one independent variable is an important analytical tool.