analysis evaluates how changing multiple inputs at the same time will affect an outcome variable.

The analysis you're referring to is called Sensitivity Analysis. Here are the steps to perform it:

1. Identify the variables: The first step in sensitivity analysis is to identify the variables that could impact the outcome. These could be inputs in a model, parameters in a system, etc.

2. Determine the range: Once the variables have been identified, the next step is to determine the range over which these variables will be changed. This could be based on historical data, expert opinion, or other relevant information.

3. Change the variables: The next step is to change the variables within the determined range and observe the impact on the outcome. This could be done one at a time (one-way sensitivity analysis) or all at once (multi-way sensitivity analysis).

4. Analyze the results: The final step is to analyze the results. This could involve looking at how much the outcome changes for a given change in the variables (elasticity), identifying which variables have the most impact on the outcome (criticality), or other relevant