Systems and methods for providing data analysis based on applying regression

A system comprising:

• at least one processor;
• and
• a memory storing instructions that, when executed by the at least one processor, cause the system to perform:
• acquiring a set of individual time series associated with a set of users, each of the individual time series being associated with a respective user out of the set of the users;
• selecting a plurality of variables represented via the set of individual time series, the plurality of variables including at least a first variable and a second variable;
• applying one or more regression techniques to at least the first variable and the second variable;
• and
• determining, based on the one or more regression techniques, a set of sensitivity metrics for the set of users, a respective sensitivity metric out of the set of sensitivity metrics being determined for each of the users.

A non-transitory computer-readable storage medium including instructions that, when executed by at least one processor of a computing system, cause the computing system to perform a method comprising:

• acquiring a set of individual time series associated with a set of users, each of the individual time series being associated with a respective user out of the set of the users;
• selecting a plurality of variables represented via the set of individual time series, the plurality of variables including at least a first variable and a second variable;
• applying one or more regression techniques to at least the first variable and the second variable;
• and
• determining, based on the one or more regression techniques, a set of sensitivity metrics for the set of users, a respective sensitivity metric out of the set of sensitivity metrics being determined for each of the users.