New nonparametric test revolutionizes linear regression analysis for small samples!
A new test for linear regression parameters was developed using the signs of residuals and their correlation with the independent variable. The test's distribution in small samples was calculated, and approximations for larger samples were derived. The test's efficiency was compared to traditional least squares and Brown-Mood tests. Key findings include the creation of a confidence region and the calculation of Pitman efficiency.