Slide 1overviewLeast squares estimationPROBABILITY AND STATISTICS IN COMPUTER SCIENCE AND SOFTWARE ENGINEERING Chapter 11: Regression1OVERVIEWOur statistical inference methods were intended to allow us to draw conclusions about population parametersWe now explore methods that allow us to test the relation between two random variablesWe see how to examine the relation between two variables using methods such as linear least square fittingThese ideas can be expanded to multiple variables …Multivariate regression and model building2LEAST SQUARES ESTIMATIONIn this lecture we will examine one common method for discovering the relation between two variablesThe regression model we will study is based upon the method of linear least squares This method will consider the data from two random variables and attempt to fit a linear relation between themWe will see how to compute this model, and how to use it make
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