Orthogonal Regression for Compare Device Readings

Use Orthogonal Regression to determine whether two devices provide comparable measurements.

This example applies to the Measurement System Analysis Module. For more information, go to www.minitab.com/measurement-system-analysis-module.

Example

An engineer uses orthogonal regression to determine whether two measurement devices are equivalent.

In this worksheet, Device 1 contains the measurements from the current device, and Device 2 contains the measurements from the new device.

Choose Solutions Modules > Capabilities > Measurement System Analysis, then select Launch.
Under Bias Study, select Select a Bias Study.
Select Compare device readings, then click OK.
Select Orthogonal Regression, then click OK.
In Response (Y), enter the first column of numeric data that you want to compare. The response is also called the Y variable.
In Predictor (X), enter the second column of numeric data that you want to compare to the response. The predictor is also called the X variable.
In Error variance ratio (Y/X), enter the ratio of the measurement error variances in the response (Y) and the predictor (X). One way to obtain estimates of the error variances is to perform separate gage R&R studies for X and Y.
Click OK.

For more information about this analysis, click Help in the main dialog box.