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

SAP Term: continuous variable

• Component: BI-RA-PA

• Component Name: SAP Predictive Analytics

• Description: Attribute that can take any numerical value that is sortable. Arithmetic operations may be performed on these values, such as determination of their sum or their mean.

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• Key Concepts: 
  Continuous variables are variables that can take on any value within a given range. In SAP Predictive Analytics, continuous variables are used to represent data points that have a continuous range of values, such as temperature or time. Continuous variables are used to create predictive models that can accurately predict future outcomes based on past data.
  
  How to use it: 
  Continuous variables can be used in SAP Predictive Analytics to create predictive models. To do this, the data points must first be collected and then the continuous variable must be identified. Once the continuous variable is identified, it can be used to create a predictive model that can accurately predict future outcomes based on past data.
  
  Tips & Tricks: 
  When using continuous variables in SAP Predictive Analytics, it is important to ensure that the data points are accurate and up-to-date. This will help ensure that the predictive model is as accurate as possible. Additionally, it is important to consider the range of values that the continuous variable can take on when creating the predictive model. This will help ensure that the model is able to accurately predict future outcomes.
  
  Related Information: 
  Continuous variables are just one type of variable used in SAP Predictive Analytics. Other types of variables include categorical variables, which are used to represent data points with discrete values, and binary variables, which are used to represent data points with two possible values. Additionally, there are other types of predictive models that can be created using SAP Predictive Analytics, such as regression models and classification models.