StackOverflow2013

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primarykey
Id
11703791
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2012-07-28T18:59:50.213
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2013-11-02T21:51:31.757
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2013-11-02T21:51:31.757
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text
Body
<h2>Wiki</h2> Regression is a common applied statistical technique and a cornerstone of machine learning. Various algorithms and software packages can be used to fit and use regression models. In other words, regression is a statistical measure that attempts to determine the strength of the relationship between one dependent variable (usually denoted by Y) and a series of other changing variables (known as independent variables). Typically the dependent variables are modeled with probability distributions whose parameters are assumed to vary (deterministically) with the independent variables. <h2>Tag usage</h2> Questions on <a href="/questions/tagged/regression" class="post-tag" title="show questions tagged 'regression'" rel="tag">regression</a> should be about implementation and programming problems, not about the statistical or theoretical properties of the technique. Consider whether your question might be better suited to <a href="http://stats.stackexchange.com">Cross Validated</a>, the StackExchange site for statistics and machine learning. Read more: <ul> <li><a href="http://en.wikipedia.org/wiki/Regression_analysis" rel="nofollow">http://en.wikipedia.org/wiki/Regression_analysis</a></li> <li><a href="http://www.investopedia.com/terms/r/regression.asp" rel="nofollow">http://www.investopedia.com/terms/r/regression.asp</a></li> </ul>
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