What is explanatory variable in SAP BI-RA-PA - SAP Predictive Analytics?

SAP Term: explanatory variable

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Variable describing the data. It explains the target variable.

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• Key Concepts: 
  Explanatory variables are used in predictive analytics to explain the behavior of a target variable. They are also known as independent variables, predictors, or regressors. Explanatory variables are used to identify relationships between the target variable and other factors that may influence it. 
  
  How to use it: 
  In SAP Predictive Analytics, explanatory variables are used to build predictive models. The model is built by analyzing the relationships between the explanatory variables and the target variable. The model can then be used to make predictions about the target variable based on the values of the explanatory variables. 
  
  Tips & Tricks: 
  When selecting explanatory variables for a predictive model, it is important to choose variables that are relevant to the target variable. It is also important to consider how the explanatory variables interact with each other and how they may affect the target variable. 
  
  Related Information: 
  For more information on predictive analytics and explanatory variables, please refer to SAP's Predictive Analytics documentation. Additionally, there are many resources available online that provide more detailed information on predictive analytics and explanatory variables.