Linear Regression is one of the fundamental types of predictive modeling algorithms. In linear regression, a dependent numeric variable is expressed in terms of the sum of one or more independent numeric variables, which are each multiplied by a numeric coefficient, usually with a constant term added to the sum of independent variables.
- Type: DB SessionTeradata ConnectionConnection to a Teradata Database Instance
- Type: TableLinear Regression VAL inputLinear Regression VAL input