Linear Models

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Abstract

Background: To look for a relationship between two varying quantities a common first step is to collect a set of data pairs for the two quantities. Once the data is collected, a scatter plot of the data pairs can be constructed. A scatter plot is simply a graph of points using the data pairs as coordinates. It is natural to ask at this point if there is an equation which explains the appearance of the scatter plot, i.e., an equation whose graph closely matches the scatter plot. This equation is called a mathematical model. Finding such a model allows us to predict the value of one quantity given the corresponding value of the other quantity. It can also yield new insights into the relationship between the quantities. You will find that many of the labs for this course are concerned with the modeling of data.
线性模型
背景:要寻找两个不同数量之间的关系,第一步通常是收集这两个数量的一组数据对。收集数据后,就可以绘制数据对的散点图。散点图就是以数据对为坐标的点阵图。这时,我们自然会问,是否有一个等式可以解释散点图的出现,即一个等式的图形与散点图非常吻合。这个等式被称为数学模型。找到这样一个模型,我们就可以根据一个量与另一个量的相应值来预测另一个量的值。它还能让我们对两个量之间的关系有新的认识。您会发现,本课程的许多实验都与数据建模有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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