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Day eighteen: 2 August 2013
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Introduction
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Continuing with the GLM:

#. GLM primer

   #. What is the GLM? Start with multiple regression
   #. Solving for it - residuals and parameter estimates

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Background reading
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* `GLM, t and F, raw
  <https://raw.github.com/practical-neuroimaging/pna-notebooks/master/GLM_t_F.ipynb>`_
  notebook file for downloading.
* `GLM, t and F, web
  <http://nbviewer.ipython.org/urls/raw.github.com/practical-neuroimaging/pna-notebooks/master/GLM_t_F.ipynb>`_
  notebook presented nicely as a web page.
* `Simplest GLM, raw
  <https://raw.github.com/practical-neuroimaging/pna-notebooks/master/simplest_glm.ipynb>`_
  notebook file for downloading.
* `Simplest GLM, web
  <http://nbviewer.ipython.org/urls/raw.github.com/practical-neuroimaging/pna-notebooks/master/simplest_glm.ipynb>`_
  notebook presented nicely as a web page.

Some previous notebooks that may be useful:

* `Multiple regression notebook, raw
  <https://github.com/jbpoline/bayfmri/blob/master/notebooks/005-Simple-Linear-Regression.ipynb>`_
  notebook file for downloading.
* `Multiple regression notebook, web.
  <http://nbviewer.ipython.org/urls/raw.github.com/jbpoline/bayfmri/master/notebooks/005-Simple-Linear-Regression.ipynb>`_
  notebook presented nicely as a web page.