The study of the impact on other variables when one variable is changed repeatedly is Sensitivity Analysis.
Sensitivity analysis is a financial modelling approach examines how various values of an independent variable impact a certain dependent variable under a given set of assumptions. In sensitivity analysis, repeatedly changing the value of one variable causes noticeable changes in the other variables.
The use of sensitivity analysis has various advantages. It's crucial to keep in mind that sensitivity analysis employs a set of results based on variables and assumptions that are then based on historical data. As a result, a sensitivity analysis is a model that may not be fully correct and has some margin for error, but it is still a useful and popular technique.
Sensitivity analysis has several applications in a wide range of occupations and sectors. Sensitivity analysis is used in a variety of settings for forecasting, predicting, pinpointing problem areas, and making corrections.
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