ps7 - 0.0996 0.0991 0.1038 1 1 0.0650 0.0650 0.0667 0.0662...

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MIT OpenCourseWare http://ocw.mit.edu 2.830J / 6.780J / ESD.63J Control of Manufacturing Processes (SMA 6303) Spring 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms .
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Massachusetts Institute of Technology Department of Mechanical Engineering Department of Electrical Engineering and Computer Science 2.830J/6.780J Control of Manufacturing Processes Spring 2008 Assignment 7 Out 4/4/2008; due Thursday 4/10/2008 Problem 1 Montgomery 12–10 Problem 2 Montgomery 12–15 Problem 3 Suppose that the following results were obtained from a 2-factor experiment with center point. Five replicate measurements were made for each input combination: x 1 x 2 y (5 replicates) 0 0 0.1014 0.1056
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Unformatted text preview: 0.0996 0.0991 0.1038 1 1 0.0650 0.0650 0.0667 0.0662 0.0664 1 1 0.0914 0.0891 0.0925 0.0855 0.0913 1 1 0.1107 0.1071 0.1109 0.1115 0.1145 1 1 0.1963 0.2185 0.1914 0.1814 0.2092 (a) Attempt to fit a model to these results. Examine the residuals using a normal probability plot and a plot of residuals against fitted values. Do the residuals appear to have equal variance across the prediction range? (b) Now try fitting models, in turn, to the transformed data sets exp( y ) and 1/ y . In each case examine the residuals and draw conclusions about which, if either, transformation is appropriate. (These data are also provided in an Excel file on the course website , `7-3.xls' .) Problem 4 Montgomery 1312...
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This note was uploaded on 09/24/2010 for the course MECHE 2.830J taught by Professor Davidhardt during the Spring '08 term at MIT.

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ps7 - 0.0996 0.0991 0.1038 1 1 0.0650 0.0650 0.0667 0.0662...

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