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Characteristics and Properties of a Simple Linear Regression Model

机译:简单线性回归模型的特征和性质

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A simple linear regression model is one of the pillars of classic econometrics. Despite the passage of time, it continues to raise interest both from the theoretical side as well as from the application side. One of the many fundamental questions in the model concerns determining derivative characteristics and studying the properties existing in their scope, referring to the first of these aspects. The literature of the subject provides several classic solutions in that regard. In the paper, a completely new design is proposed, based on the direct application of variance and its properties, resulting from the non-correlation of certain estimators with the mean, within the scope of which some fundamental dependencies of the model characteristics are obtained in a much more compact manner. The apparatus allows for a simple and uniform demonstration of multiple dependencies and fundamental properties in the model, and it does it in an intuitive manner. The results were obtained in a classic, traditional area, where everything, as it might seem, has already been thoroughly studied and discovered.
机译:一个简单的线性回归模型是经典计量经济学的支柱之一。尽管有时间的流逝,但它在理论和应用方面都不断引起人们的兴趣。该模型中的许多基本问题之一涉及确定派生特性并研究其范围内存在的特性,请参阅这些方面中的第一个。在这方面,该主题的文献提供了几种经典的解决方案。在本文中,基于某些估计量与均值的不相关性,基于方差及其性质的直接应用,提出了一种全新的设计,在此范围内获得了模型特征的一些基本相关性。更紧凑的方式。该设备允许对模型中的多个依存关系和基本属性进行简单而统一的演示,并以直观的方式进行。结果是在一个经典的传统区域中获得的,在这里似乎已经对所有事物进行了彻底的研究和发现。

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