4. Process Modeling 4.6. Case Studies in Process Modeling 4.6.2. Alaska Pipeline
Non-Homogeneous Variances	This example illustrates the construction of a linear regression model for Alaska pipeline ultrasonic calibration data. This case study demonstrates the use of transformations and weighted fits to deal with the violation of the assumption of constant standard deviations for the residuals. This assumption is also called homogeneous variances for the residuals.
	Background and Data Check for a Batch Effect Fit Initial Model Transformations to Improve Fit Weighting to Improve Fit Compare the Fits Work This Example Yourself