Regression analysis is a statistical technique to measure the degree of linear agreement in variations between two or more variables.
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Regression analysis describes the relationship between two or more variables. The measure of the explanatory power of the regression model is R2 (i.e. coefficient of determination).
The p value is NOT a probability but a likelihood. It tells you the likelihood that the coefficient of a variable in regression is non zero. The p-value is: The probability of observing the calculated value of the test statistic if the null hypothesis is true
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.
Regression is the re-test of the existing features of your softwares. Criterias: -If one of the requirements is enhanced or changed or modified then the affected other software modules should also be tested as regression test. -If the already released software modules are having issues at end customer side and they have reported bugs in them...Then you will come to know the most affected module and can perform regression test in next release.