https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/High-level-interpretation-of-Independent-Variables-in-Forecast/m-p/445664#M3052 <P>They are the parameters of a transfer function model. You can find the details in the documentation of&nbsp;<A href="http://documentation.sas.com/?docsetId=etsug&amp;docsetTarget=etsug_arima_gettingstarted35.htm&amp;docsetVersion=14.3&amp;locale=en" target="_self">PROC ARIMA</A>.&nbsp;</P> Wed, 14 Mar 2018 22:59:59 GMT mitrov 2018-03-14T22:59:59Z https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/High-level-interpretation-of-Independent-Variables-in-Forecast/m-p/443027#M3047 <P>I am working some business users that will be using SAS Forecast Studio for&nbsp;sales forecasting. The analyst who will be using the software doesn't have a strong background in statistics.</P><P>&nbsp;</P><P>I'm looking for some recommendations about how to interpret (at a high level) how independent&nbsp;variables are effecting ARIMIA models in our Forecast Studio Project.</P><P>&nbsp;</P><P>We all understand how to interpret significance/p-value, but how should we interpret parameter names such as&nbsp;<STRONG>SCALE, NUM1_1, DEN1_1</STRONG>. What do these mean in layman's terms?</P><P>&nbsp;</P><P>Thank you.</P><P>&nbsp;</P><P>&nbsp;</P><P>&nbsp;</P> Tue, 06 Mar 2018 20:19:15 GMT https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/High-level-interpretation-of-Independent-Variables-in-Forecast/m-p/443027#M3047 benhendrick 2018-03-06T20:19:15Z https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/High-level-interpretation-of-Independent-Variables-in-Forecast/m-p/445664#M3052 <P>They are the parameters of a transfer function model. You can find the details in the documentation of&nbsp;<A href="http://documentation.sas.com/?docsetId=etsug&amp;docsetTarget=etsug_arima_gettingstarted35.htm&amp;docsetVersion=14.3&amp;locale=en" target="_self">PROC ARIMA</A>.&nbsp;</P> Wed, 14 Mar 2018 22:59:59 GMT https://communities.sas.com/t5/SAS-Forecasting-and-Econometrics/High-level-interpretation-of-Independent-Variables-in-Forecast/m-p/445664#M3052 mitrov 2018-03-14T22:59:59Z