Fixed‐width Confidence Intervals in Linear Regression With Applications to the Johnson‐neyman Technique

Fixed‐width confidence intervals for a population regression line over a finite interval of x have recently been derived by Gafarian. The method is extended to provide fixed‐width confidence intervals for the difference between two population regression lines, resulting in a simple procedure analogous to the Johnson‐Neyman technique.