Twin Cities JMP User Group Meeting on Friday, February 19 @ Noon Central

[#1]

The next Twin Cities JMP User Group Meeting is taking place on Friday, February 19 at Noon Central. The agenda:

• Welcome and introductions
• Demonstrations and discussion from local JMP users:

• Seagate – Orthogonal Regression
• 3M – Split plot DOE
• Ecolab - Graph Builder leading practices including how to add images to visualizations
• What to expect from JMP 16 (scheduled release in March 2021)

To register for the event click on the following link:  https://sas.zoom.us/meeting/register/tJ0ocO2oqjoiGtBdcOP5sN_wiqd2T11y8YPZ

[#2]

Presentation from the Feb 19, 2021 event on Orthogonal Regression.  We have successfully used this approach for gage to gage correlations.

• Why would we want to do Orthogonal Regression?
• What are the computational differences between ordinary least squares (OLS) and Orthogonal Regression
• Perform an Orthogonal Regression study using JMP
• A method originally attributed to W. Edwards Deming takes into account the error in both variables.
• The result is completely invertible! It does not matter which is the “x” variable and which is the “y” variable.
• The method is referred to as “orthogonal regression” (regression when both input and output have variability).
• Creates a simple linear relationship only (no higher order terms): x2 = bx1 + a
• Requires only a knowledge (or estimate) of the ratio of the error in y to the error in x.

Please feel free to contact me with any comments or questions.  

Many thanks to those who contributed to this presentation over the years: Lyle Dockendorf, Joe Liu, Jim Gillard, Hugh Quinn, and Brenda Scott.

• Orthogonal Regression uses an approach that minimizes the sum of the squared perpendicular differences
• Requires that you specify the ratio of the variance of the error in X and Y