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High level interpretation of Independent Variables in Forecast Studio Parameter Estimates table

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High level interpretation of Independent Variables in Forecast Studio Parameter Estimates table

I am working some business users that will be using SAS Forecast Studio for sales forecasting. The analyst who will be using the software doesn't have a strong background in statistics.

 

I'm looking for some recommendations about how to interpret (at a high level) how independent variables are effecting ARIMIA models in our Forecast Studio Project.

 

We all understand how to interpret significance/p-value, but how should we interpret parameter names such as SCALE, NUM1_1, DEN1_1. What do these mean in layman's terms?

 

Thank you.

 

 

 


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‎03-16-2018 09:43 AM
SAS Employee
Posts: 62

Re: High level interpretation of Independent Variables in Forecast Studio Parameter Estimates table

Posted in reply to benhendrick

They are the parameters of a transfer function model. You can find the details in the documentation of PROC ARIMA

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‎03-16-2018 09:43 AM
SAS Employee
Posts: 62

Re: High level interpretation of Independent Variables in Forecast Studio Parameter Estimates table

Posted in reply to benhendrick

They are the parameters of a transfer function model. You can find the details in the documentation of PROC ARIMA

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