Regression analysis is a set of statistical methods used for the estimation of relationships between a dependent variable and one or more independent variables. It can be utilized to assess the strength of the relationship between variables and for modeling the future relationship between them.

Statistical analysis is the process of collecting and analyzing data in order to discern patterns and trends. It is a method for removing bias from evaluating data by employing numerical analysis. This technique is useful for collecting the interpretations of research, developing statistical models, and planning surveys and studies.

A what-if analysis is a technique that is used to determine how projected performance is affected by changes in the assumptions that projections are based upon. What-if analysis is used to compare different scenarios and their potential outcomes based on fluctuating conditions. The purpose of a what-if analysis is to determine the effect of these outcomes in a statistical model in conjunction with risk assessment. Different methods of sensitivity analysis are available, including scenario-management tools, brainstorming techniques, and modeling and simulation techniques. What-if analysis is frequently used by researchers, analysts, scientists, and investors. It is also known as sensitivity analysis.