Difference between revisions of "User talk:Kevin Dunn"

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.. math::
.. math::


\sum{x_1^2} &= 7.0 \\
  \sum{x_1^2} &= 7.0 \\    \sum{x_2^2} &= 3.0 \\  \sum{x_1x_2} &= 4.0 \\  \sum{x_1y} &= 38.0 \\  \sum{x_2y} &= 30.0 \\
 
 
and
and  


.. math::  
.. math::  


y_1 &= f_1(\beta_1, \beta_2) + e_1 \\
y_1 &= f_1(\beta_1, \beta_2) + e_1 \\ y_2 &= f_2(\beta_1, \beta_2) + e_2  
y_2 &= f_2(\beta_1, \beta_2) + e_2  


Discuss any analysis or checks that one should do prior to the final estimation stage.
Discuss any analysis or checks that one should do prior to the final estimation stage.

Revision as of 13:22, 7 January 2013


You are probably looking for http://learnche.mcmaster.ca


The questions below are from previous McMaster University exams when the course was taught by Dr. John MacGregor and other instructors. We have covered much of the same material - but a few topics were not covered - so don't expect to be able to answer all questions.

<rst> <rst-options: 'toc' = False/> <rst-options: 'reset-figures' = False/>

.. |-| replace:: :math:`-` .. |+| replace:: :math:`+`


Size experiments were performed to assess the effects of the density (:math:`x_1`) and melt index (:math:`x_2`) of polyethylene chips on the quality (:math:`y`) of an extruded part. It is hypothesized that, over the ranges considered, the effects are linear. The data are mean centered and so a model of the form :math:`y = b_1x_1 + b_2x_2 + e` should hold. The sums of squares and cross products of the data are given below.

.. math::

  \sum{x_1^2} &= 7.0 \\    \sum{x_2^2} &= 3.0 \\   \sum{x_1x_2} &= 4.0 \\   \sum{x_1y} &= 38.0 \\   \sum{x_2y} &= 30.0 \\
 

and

.. math::

y_1 &= f_1(\beta_1, \beta_2) + e_1 \\ y_2 &= f_2(\beta_1, \beta_2) + e_2

Discuss any analysis or checks that one should do prior to the final estimation stage.


</rst>