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Historical Data RSM Tutorial - Statease.info

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DX8-04I-Hist<strong>RSM</strong>-P2.docxx Rev. 5/11/10<strong>Historical</strong> <strong>Data</strong> <strong>RSM</strong> <strong>Tutorial</strong>(Part 2 – Advanced Topics)Design EvaluationIf you still have the Longley data active in Design-Expert software from Part 1 ofthis tutorial, continue on. If you exited the program, re-start it and use OpenDesign to open your data file (Longley.dxp). Under the Design branch of theprogram, click Evaluation. The software brings up a quadratic polynomial modelby default, but, as you will see, the order must be downgraded to linear (we will getto the reason momentarily). The screen shot shows the Response field set at“Design Only” as opposed to the Employment response. In other words, it willevaluate the entire matrix of factors, regardless whether response data are present.The other option (response by response) comes in handy when experimenters endup with missing data, thus degrading the “designed-for” model.Design evaluation (design only)Design-Expert 8 User’s Guide <strong>Historical</strong> <strong>Data</strong> <strong>RSM</strong> <strong>Tutorial</strong> – Part 2 1


DX8-04I-Hist<strong>RSM</strong>-P2.docxx Rev. 5/11/10Results of evaluation for linear modelOn Bookmarks click the DF option to bring up the accounting for degrees offreedom.Bookmarking to evaluate degrees of freedom (DF)Looking over the annotations provided by the software (activated via View,Annotated Evaluation), notice this design flunks the recommendation for pureerror df. Of course this really is not a designed experiment, but rather historicaldata collected at happenstance.Annotations for degrees of freedomStudy the next section of the evaluation by Design-Expert. Do any of the statisticspass the tests suggested for a good design? No!Design-Expert 8 User’s Guide <strong>Historical</strong> <strong>Data</strong> <strong>RSM</strong> <strong>Tutorial</strong> – Part 2 3


Details on model terms, including powerScroll down or bookmark to the leverage report. These statistics come outsurprisingly good – none exceeds twice the average.More statistics are available by going back to Model, selecting Options, andturning on (checkmarks) Matrix Measure and Correlation Matrices.Turning on more options for reportClick OK and view the Results. On Bookmarks choose Matrix to see newstatistics.4 <strong>Historical</strong> <strong>Data</strong> <strong>RSM</strong> <strong>Tutorial</strong> – Part 2 Design-Expert 8 User’s Guide


DX8-04I-Hist<strong>RSM</strong>-P2.docxx Rev. 5/11/10Matrix measures for design evaluationNotice the condition number (12,220) far exceeds the level considered to representsevere multicollinearity for a design matrix (1000 or fewer). Viewing specificcorrelations reveals why.Design-Expert 8 User’s Guide <strong>Historical</strong> <strong>Data</strong> <strong>RSM</strong> <strong>Tutorial</strong> – Part 2 5


Correlation matricesNotice many values are highlighted in blue for being unacceptably high. No wonderLongley picked this data to test regression software!Now, just for fun, press the Graphs button and select View, Perturbation (orpress this option on the floating Graphs Tool).Perturbation plot for standard error6 <strong>Historical</strong> <strong>Data</strong> <strong>RSM</strong> <strong>Tutorial</strong> – Part 2 Design-Expert 8 User’s Guide


DX8-04I-Hist<strong>RSM</strong>-P2.docxx Rev. 5/11/10Notice factors B and F exhibit the most dramatic tracks for standard error. On thefloating Graphs Tool select 3D Surface. On the Factors Tool, right-click factorF:Time and change it to X1 axis.3D view of standard error for factors B and FThere’s no sense doing anything more. By now it’s clear that this ‘design’ fails allthe tests for a good experiment, but that’s generally the nature of the beast forhappenstance data.Design-Expert 8 User’s Guide <strong>Historical</strong> <strong>Data</strong> <strong>RSM</strong> <strong>Tutorial</strong> – Part 2 7

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