Fitting Linear Models Ch.
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Bivariate and Multivariate Relationships Ch. Design of Experiments Ch.
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Statistical Quality Control Ch. Includes bibliographical references [] and index.
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JMP 11 Fitting Linear Models
How do I "extract" the numbers from the regression reports and place them in a variable? My purpose is this. I need to tabulate the R square values and y-intercept in single table. Right now, I am manually typing.
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This initial part was done with "Save Script to Script Window. By clicking "Post Your Answer", you acknowledge that you have read our updated terms of service , privacy policy and cookie policy , and that your continued use of the website is subject to these policies. I then send the graphs to a JMP report so all graphs will appear in just one window.
A team formed using six sigma tools to improve the process reliability and decrease cost. The dominant source of variation was the analytical method providing information about this manufacturing process. A series of historical data analyses and designed experiments were used to understand this analytical measurement system better. This presentation will provide an overview of the work done.
The result of the controls implemented on the analytical measurement process was a dramatic reduction in variation in both the analytical process and associated manufacturing results. Many technical and business colleagues shy away from maximizing the true value of decision-supporting data due to reluctance to analyze data with the most up-to-date, descriptive and predictive models.
Sometimes, this entails the development and fitting of non-linear models. This paper presents several examples from industry. Is this really a better bowling ball? The second example involves analysis of market penetration data. It also helped guide decisions in several cleaning areas. A final example involves developing understanding in a spray application in agriculture where we applied models to rheological behavior and spray particle size distribution.
Six Sigma methodologies have made considerable inroads as continuous improvement tools of choice initially in manufacturing and more recently in service and transactional environments. There is considerable global interest in training professionals on the use and application of Six Sigma tools. Six Sigma training has seen the use of classroom demonstrations ranging from the use of playing cards to simulations and the use of sophisticated experiments to illustrate concepts in factorial designs. A consistent feedback from belts during training is the need for well-designed case studies, which span the body of knowledge, integrated with the application software such as JMP.
This paper presents the features of the JMP journal to accomplish this requirement. Using features available in the JMP journal, a case study that incorporates statistical tools akin to Six Sigma body of knowledge has been designed.
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This journal outlines experiments and the expected analysis at each phase. In addition support documentation and provided for reference. The JMP journal acts as a dynamic workbook throughout the course of training where the student records and stores data in addition to analyzing data, saving scripts and documenting presentations. We have all seen dynamic and interactive graphics on the web, with Ajax, Flash, Silverlight, and other interactive technologies enabling this.
Also we have experienced the richness of high-quality fast-moving 3D interactive graphics with each new generation of computer games and the video cards that enable them. We need harness these abilities in the service of business and statistical visualization so we can routinely do dynamic interactive graphs built into the analytic application. Motion and 3D are particularly of interest.
JMP 11 Fitting Linear Models [Book]
Effective BI has many ingredients; data cleansing, data integration, data retrieval query and reporting and analytics. While these ingredients are important, to be effective analysis results need to motivate others toaction. The best written report has little impact on an organization if it does not motivate action.