This question needs to be more specific. Are you asking for an example of statistical regression?
regression testing is normally a set of automated scripts written by the test/automation team to test all previously existing functionality to make sure nothing has been broken.
A regression test is a test where a previously known bug is tested for after a change. A retest is simply repeating a test.
i know the facts. What is the reason? For your Regression?
The marine regression analysis showed that the new subdivision was responsible for the coastline erosion.The wrinkle cream showed a regression in age lines.
Z Test
Regression are classified as - Full / Complete Regression -- Entire application is regressed - Regional regression -- Tests performed around defect fixes or code changes
Sampril Chatterjee has written: 'Regression analysis by Example' -- subject(s): Regression, analyse de
Regression testing is an iterative process executed throughout the software development and testing cycle. Regression testing focuses on previously tested aspects, features which were tested and found working, or bugs which were found and confirmed fixed, in earlier versions of the software. The purpose of regression testing is to make sure that those previously verified features still work. For example, consider a software release that includes two new features, A and B. While the developers are still working on feature B, test is already examining feature A. When A is found working as planned, testing proceeds to feature B, while regression testing affirms that nothing in feature B broke A.
The F-statistic is a test on ratio of the sum of squares regression and the sum of squares error (divided by their degrees of freedom). If this ratio is large, then the regression dominates and the model fits well. If it is small, the regression model is poorly fitting.
system testing is a kind of retesting where we can test whole system after integration. while regression testing is a process where we do the rerunning the test cases and check whether that re run doesnot affects the real environment.
The F-statistic is a test on ratio of the sum of squares regression and the sum of squares error (divided by their degrees of freedom). If this ratio is large, then the regression dominates and the model fits well. If it is small, the regression model is poorly fitting.