Difference between revisions of "User talk:Kevin Dunn"
Kevin Dunn (talk | contribs) m |
Kevin Dunn (talk | contribs) m |
||
Line 19: | Line 19: | ||
\sum{x_1^2} &= 7.0 \\ | \sum{x_1^2} &= 7.0 \\ | ||
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> | </rst> |
Revision as of 13:20, 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 \\
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>