Example of Marginal Effects
Shows the predicted utility for different factor settings. The utility is the value predicted by the linear model. See Explore the Model for an example of the Utility Profiler. For details about the Utility Profiler options, see the Prediction Profiler Options section in the Profiler chapter of the Profilers book.
Shows the predicted probability for choosing the given factor settings compared with baseline factor settings. This predicted probability is defined as , where U is the utility for the current settings and Ub is the utility for the baseline settings. See Compare to Baseline for an example of using the Probability Profiler. For details about the Probability Profiler options, see the Prediction Profiler Options section in the Profiler chapter of the Profilers book.
Enables you to set up a number of choice sets and see the probabilities of choosing each set relative to the other choices. See Multiple Choice Comparison for an example of using the Multiple Choice Profiler. For details about the Multiple Choice Profiler options, see the Prediction Profiler Options section in the Profiler chapter of the Profilers book.
Performs comparisons between specific alternative choice profiles. Enables you to select factor values and the values that you want to compare. From here you can compare specific configurations, including comparing all settings on the left or right by selecting the Any check boxes. Using Any does not compare all combinations across features, but rather all combinations of comparisons, one feature at a time, using the left settings as the settings for the other factors.
Comparisons Example
Calculates how much a price must change allowing for the new feature settings to produce the same predicted outcome. The result is calculated using the Baseline settings (for each background setting) and then determining the outcome after altering the Role, including.
 ‒ Feature Factor - a feature in the experiment that you want to price.
 ‒ Price Factor - a continuous price factor in the experiment.
 ‒ Background Constant - something that you want to hold constant at a baseline value.
 ‒ Background Variable - something that you want to iterate across values.
Willingness to Pay Example
The Include baseline settings in report table option adds the baseline settings with a price change of zero, which is useful if you make an output table of these prices displaying all the baseline settings as well as the featured settings.