For a large number of attributes this becomes too time consuming and fatiguing for the consumer. SET SEED 10. The output includes output for each subject as well as output for the group. The output displays the utility scores for each factor level. By adding these values, the total utility of a specific combination can be calculated.
Low values represent high preference and generate high utilities.
High values represent low preference and generate low utilities. The Pearson's R and Kendaull's tau statstics indicate how well the model fits the data. These represent the correlations between the observed and estimated preferences. If the model fits well, these values should be very high.