TD_MULTIVAR_REGR

Multivariate linear regression is about fitting the observed data to some multidimensional surface - a formula is postulated which purportedly defines how an explanatory variable is related to a response variable. The response variable being the 'observed result/response' that the scientist hopes to model with the formula and the set of explanatory variables being the variables, which in conjunction with the formula, can be used to 'explain' the result.

Input ports

1. Type: DB Session
   Teradata Connection
   Connection to a Teradata Database Instance
2. Type: Table
   Input
   a multivariate series - with the first payload field representing the response variable and the remainder of the payload fields representing the explanatory variables - as input

Output ports

1. Type: Table
   output of TD_MULTIVAR_REGR
   output of TD_MULTIVAR_REGR