Options (Temporal Causal Model Scenarios)

Maximum level for affected targets
Specifies the maximum number of levels of affected targets. Each successive level, up to the maximum of 5, includes targets that are more indirectly affected by the root series. Specifically, the first level includes targets that have the root series as a direct input. Targets in the second level have targets in the first level as a direct input, and so on. Increasing the value of this setting increases the complexity of the computation and might affect performance.
Maximum auto-detected targets
Specifies the maximum number of affected targets that are automatically detected for each root series. Increasing the value of this setting increases the complexity of the computation and might affect performance.
Impact diagram
Displays a graphical representation of the causal relations between the root series for each scenario and the target series that it affects. Tables of both the scenario values and the predicted values for the affected targets are included as part of the output item. The graph includes plots of the predicted values of the affected targets. Single-clicking any node in the impact diagram opens a detailed sequence diagram for the series that is associated with the node. A separate impact diagram is generated for each scenario.
Series plots
Generates series plots of the predicted values for each of the affected targets in each scenario.
Forecast and scenario tables
Tables of predicted values and scenario values for each scenario. These tables contains the same information as the tables in the impact diagram. These tables support all standard features for pivoting and editing tables.
Include confidence intervals in plots and tables
Specifies whether confidence intervals for scenario predictions are included in both chart and table output.
Confidence interval width (%)
This setting controls the confidence intervals for the scenario predictions. You can specify any positive value less than 100. By default, a 95% confidence interval is used.