Course Description

" Regression" comes from" regress" which in turn comes from latin" regressus" to go back( to something). In that sense, regression is the technique that allows" to go back" from messy, hard to interpret data, to a clearer and further meaningful model.

Regression model

In practice, researchers first select a model they would like to estimate and also use their chosen method(e.g., ordinary least places) to estimate the parameters of that model. Regression models involve the following components

The unknown parameters, often denoted as a scalar or vector{ displaystyle beta} beta.

The independent variables, which are observed in data and are frequently denoted as a vector{ displaystyle X,{ i}} X,{ i}( where{ displaystyle i} i denotes a row of data).

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