http://bulletin.imstat.org/2012/09/terence%e2%80%99s-stuff-multiple-linear-regression-part-2/ Fri, 14 Jun 2013 17:58:11 +0000 hourly 1 http://wordpress.org/?v=3.1.3 http://bulletin.imstat.org/2012/09/terence%e2%80%99s-stuff-multiple-linear-regression-part-2/#comment-1923 Weekly Digest – January 6, 2013 | Robust Analysis Wed, 09 Jan 2013 03:49:28 +0000 http://bulletin.imstat.org/?p=945#comment-1923 [...] Terence’s Stuff: Multiple Linear Regression, Part 2, Terry Steel I really like multiple linear regression (MLR), even though I think that it must be the most widely misused of all statistical methods. There are so many different reasons why we might use it, and there are so many variations on linear least squares, I feel that MLR can be seen as a microcosm of statistics as a whole. At a conference recently I heard a speaker discuss MLRs with 15–20 variables. He spoke of model complexity, of functional forms, of whether or not variables should be selected, and he discussed model (in)stability and resampling techniques for diagnosing and improving models.  All without stating a reason for doing MLR! [...] [...] Terence’s Stuff: Multiple Linear Regression, Part 2, Terry Steel I really like multiple linear regression (MLR), even though I think that it must be the most widely misused of all statistical methods. There are so many different reasons why we might use it, and there are so many variations on linear least squares, I feel that MLR can be seen as a microcosm of statistics as a whole. At a conference recently I heard a speaker discuss MLRs with 15–20 variables. He spoke of model complexity, of functional forms, of whether or not variables should be selected, and he discussed model (in)stability and resampling techniques for diagnosing and improving models.  All without stating a reason for doing MLR! [...]

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