Canonical correlation analysis seeks the best sets of linear combinations with independent variables related to dependent variables.
You use non-parametric hypothesis tests when you don’t know, can’t assume, and can’t identify what kind of distribution your have.
Multiple linear regression is an extension to methodology of simple linear regression. It is used to study more than two variables.
A Non-Linear Regression is a statistical analysis tool used to model complex datasets and express them as mathematical functions.
Graphical analysis is one of the critical aspects of Six Sigma projects. It is an effective way to visualize data patterns.