The Linear Regression Simulators allow you to see how changes in your driving factors can affect your chosen dependent variable (such as overall satisfaction).

 Features:

• Adjustment of driver variables to simulate your dependent variable’s score.
• Can have multiple dependent variables and weight them to see how your drivers effect a combination of them or each one individually.
  

Example:

The example given is data simulating how overall satisfaction is rated across four products as ratings of specific product attributes increase and decrease. The predictors can be reset to sample values to simulate the baseline (present day) rating.