Autobox can allow users to specify a regressor with a “1” where there is an outlier or a “0” where there is not.

If the user does not specify the outlier, Autobox does a search using different combinations of 0’s and 1’s in order

To detect the point where an intervention takes place.

TIME	Y	X (User defined variable)
1	.1	0
2	.2	0
3	.1	0
4	2.0	1
5	.1	0
6	.3	0
7	2.4	1
8	.2	0
9	.1	0
10	.1	0
11	.2	1
In the case where X is not suggested by the user there are 2 outliers or 2 unusual values ( time period 4 and 7 ). Thus the model would contain 2 dummy variables. However in the case when the user knows about a causal variable ( point in time of a promotion for example ) AUTOBOX would detect an outlier at time period 11. This would lead to a totally different set of coefficients and a different comprehension of the nature of the data.